Engineering Manager - Streaming
-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our custom
What this role actually needs.
-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our custom Responsibilities: - Leading a talented engineering team in Spark™ Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform - Overseeing sustained recruitment of top-tier talent, and upskilling talent on the team - Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities - Build software that is not just high quality but easy to operate. - Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio - Manage technical debt, including long term technical architecture decisions and balance product roadmap Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.
Day-to-day expectations
Databricks lists these responsibilities for the Engineering Manager - Streaming role.
- Leading a talented engineering team in Sparkâ„¢ Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform
- Overseeing sustained recruitment of top-tier talent, and upskilling talent on the team
- Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities
- Build software that is not just high quality but easy to operate.
- Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio
- Manage technical debt, including long term technical architecture decisions and balance product roadmap
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Source: databricks.com · Source ID: 8324875002 · Confidence: 93/100 · Last checked: May 7, 2026
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