Databricks
Sr. Engineering Manager - Pipelines Engine
$229K–$317K
Mountain View, California +2 · Manager · Full-time · Posted Mar 17, 2026
- Location
- Mountain View, California
San Francisco, California
San Francisco, California - Experience
- Minimum 3 years managing engineering teams; 5+ years building data infrastructure systems.
About the job
Leads the Pipelines Engine team in building next-generation ETL features and agentic data engineering infrastructure for Databricks Lakeflow.
What you'll do
- Lead engineering development of next-generation ETL features and pipeline engine capabilities.
- Recruit, coach, and grow the engineering team; establish processes to deliver product strategy.
- Guide technical architecture and technical debt while ensuring high-quality, reliable, operable software.
What they ask for
- At least 3 years managing engineering teams.
- At least 5 years building data infrastructure systems, such as Apache Spark or database internals.
- Experience working with product management and customers to understand customer needs.
- Experience overseeing testing, quality, and Service Level Agreements for infrastructure services.
Nice to have
- Passion for database systems, storage systems, distributed systems, or performance optimization.
- Experience building and managing teams in a complex technical domain such as distributed data systems or database internals.
Pay
$228,600 — $317,233 USD (base salary)
Tools
Apache Spark™
AI focus
Build agentic data engineering infrastructure to power agentic pipeline authoring, execution, and maintenance.
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