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Sr. Solutions Architect

Databricks· Engineering
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Hybrid (Seattle, WA or San Francisco Bay Area, CA)$219.1k - $301.3kfull-timePosted 1w ago

About the role

Senior pre-sales role focused on defining technical strategy for large enterprise accounts to drive adoption of Databricks products, with leadership in data science, big data, and cloud use cases.

Responsibilities

  • You work with multiple clients as the main technical voice for Databricks.
  • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  • You implement the technical strategy in the account, in close understanding of the strategy.
  • You build a movement of technical champions within the account.
  • You align technical strategies around Databricks solutions.
  • You provide structured mentorship for other team members.
  • Gain the respect of your peers based on your experience, insight, and contributions.

Qualifications

  • Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
  • Experience working very large (> $1m ARR), global accounts.
  • Form relationships with executives and influencers.
  • Present a convincing point-of-view to important decision-makers that leads them down a path of success.
  • Technical in big data, data science and cloud.
  • An ability in data-driven business transformation, and driving change with data.
  • Production programming experience in Python, R, Scala or Java
  • Nice to have: Databricks Certification

Skills

Required:Virtual team leadershipExecutive relationship buildingTechnical voicing in customer engagementsBig data / data science / cloudData-driven business transformationProgramming

Benefits

  • Benefits specifics available in regional link provided in job posting.
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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