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Sr. Solutions Architect

Databricks· Engineering
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Hybrid (Northeast US)$219.1k - $301.3kfull-timePosted 3mo ago

About the role

Senior pre-sales Solutions Architect for Databricks focused on large enterprise accounts in the Northeast US, defining and directing technical strategy, leading to broader adoption of Databricks products and ML/AI use cases in high-tech and manufacturing sectors.

Responsibilities

  • You will be the main technical voice for Databricks with multiple clients.
  • Lead customers on a transformational journey to evaluate and adopt Databricks as part of their strategy.
  • Implement the technical strategy in the account, aligning with overall account strategy.
  • Build a movement of technical champions within the account.
  • Align technical strategies around Databricks solutions.
  • Provide structured mentorship for other team members.
  • Gain the respect of peers based on experience, insight, and contributions.

Qualifications

  • Proficiency at establishing virtual teams and leading them to 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 to success.
  • Technical expertise in big data, data science and cloud.
  • Ability in data-driven business transformation and driving change with data.
  • Production programming experience in Python, R, Scala or Java

Skills

Required:Virtual team leadershipExecutive stakeholder managementTechnical pre-salesBig data / data science / cloudProduction programming

Benefits

  • Comprehensive benefits package (region-specific).
  • Pay transparency with zone-based ranges and potential for annual bonus, equity, and benefits.
Last updated Sep 10, 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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