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Engineering Manager - Pipelines Engine

databricks
Mountain View, California; San Francisco, California
On-siteUSD 190,000 - 261,250 / year

About this role

About the Role 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 data engineering platforms - 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 builds next-generation Runtime ETL features and ensures Lakeflow Pipelines has state-of-the-art performance for ETL workloads. You will also lead the Agentic Data Engineering infrastructure, building the next generation engine to power agentic pipeline authoring, execution and maintenance.

What You'll Do

  • Lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform.
  • Oversee sustained recruitment of top-tier talent and upskilling of the team.
  • Build processes to implement product vision and strategy according to organizational goals and priorities.
  • Build software that is high quality and easy to operate.
  • Manage technical debt, including long-term architecture decisions and balancing the product roadmap.

What We're Looking For

  • Minimum 3 years of experience managing top-tier engineering teams.
  • 5+ years experience building data infrastructure systems such as Apache Spark or database internals.
  • Passion for database systems, storage systems, distributed systems, or performance optimization.
  • Experience working with product management and directly with customers; ability to understand customer needs.
  • Ability to ensure the team builds high quality and reliable infrastructure services.
  • Experience being responsible for testing, quality, and SLAs of a product.
  • Experience building and managing teams in a complex technical domain, such as distributed data systems or database internals.
  • Expertise in attracting, hiring and coaching engineers who meet Databricks hiring standards.
  • Experience up-leveling teams via hiring top-notch talent and growing existing team members.

Compensation & Benefits

  • Local Pay Range: $190,000—$261,250 USD
  • The total compensation may include annual performance bonus, equity, and benefits as listed.
  • Compliance with Databricks' commitment to diversity and inclusion is part of the culture.

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