Engineering Manager - Pipelines Engine

Engineering Manager - Pipelines Engine

Mountain View, California;
San Francisco, California

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 the 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 is responsible for building next-generation Runtime ETL features and ensuring that Lakeflow Pipelines has state-of-the-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.

• 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 to operate.
• You will manage technical debt, including long-term technical architecture decisions and balancing the product roadmap.

• Minimum 3 years of experience managing top-tier engineering teams.
• 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals.
• A 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.
• Can ensure the team builds high-quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
• Expertise in attracting, hiring and coaching engineers who meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $190,000 — $261,250 USD.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, please visit

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.