Sr. Solutions Architect (East Coast/Central)
Databricks· Engineering
Hybrid (East Coast/Central US)full-timePosted 1mo ago
About the role
Senior pre-sales Solutions Architect at Databricks focusing on large enterprise accounts in the East Coast and Central US, defining technical strategy, leading proofs of concept, and driving ML & AI adoption to achieve data-driven transformations.
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
- Travel to customers in your region up to 30% of the time.
Skills
Required:Virtual team leadershipExecutive relationship managementTechnical sales/solutions consultingBig data / data science / cloudProduction programming
Benefits
- Benefits details available via regional link in the job description.
Last updated Sep 17, 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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