Sr. Product Manager, Data Engineering
Leads product management for Lakeflow in Data Engineering, owning vision, strategy, roadmap, and execution. Partners with teams to integrate across Databricks portfolio. Requires 5+ years PM experience and CS/engineering background.
About the job
Impact
- Lead product management for one of the fastest growing products at Databricks
- Drive Data Engineering across the Databricks product portfolio
- Develop expertise in Data Engineering
- Shape the future of data processing, applications, and pipelines
- Own full product lifecycle from ideation to launch
What We Look For
- 5+ years of product management experience with enterprise or SaaS products
- Educational or professional background in computer science or related engineering fields
- Ability to partner with senior technical leaders and go deep on technical concepts
- Track record delivering products with cross-functional teams (engineering, sales, marketing, etc.)
- Analytical skills for data-driven decisions (e.g., product usage analysis)
- Excellent communication skills for complex topics to diverse stakeholders
- Background in Data Engineering (plus)
Skills
Product Management, Data Engineering, Lakeflow, SaaS, Computer Science, Data Pipelines, Data Processing, Analytics, Cross-Functional Collaboration, Go-To-Market
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