Engineering Manager - Pipelines Engine

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About this role

Engineering Manager - Pipelines Engine Mountain View, California; San Francisco, California P-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 customers can use deep data insights to improve their business. We are the Lakeflow Engineering team, responsible for Databricks ETL product line: Jobs , Spark Declarative Pipelines , and Genie Code for Data Engineering . We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated Engineering Leader to spearhead the Pipelines Engine engineering team. The team is responsible for building next generation Runtime ETL features and ensuring that Lakeflow Pipelines has state of art performance for ETL workloads. You will also spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance. The main responsibilities include: - You will lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform. - You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team. - You will build processes to implement product vision and strategy, according to organizational goals and priorities. - You will build software that is not just high quality but easy

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