Teams at Databricks

Serve as trusted technical advisor for strategic accounts, design and build Databricks-based Lakehouse and GenAI/ML architectures, deliver proofs of concept, collaborate with sales/product/engineering, and support global account implementations and integrations across cloud environments.

Customer-facing senior engineer who architects and delivers production-ready big data and AI solutions on Databricks across cloud platforms. Advises customers, builds reusable automation, designs reference architectures, supports migrations, and partners with engineering and support to drive product improvements and adoption.

Own the non-technical lifecycle of Field Deployment engagements: partner with sales to define C-suite value and MVPs, write PRDs, prioritize engineering backlogs, drive agile delivery, act as hands-on QA, manage launches and adoption, and scope ongoing maintenance while identifying growth opportunities.