Sr. Engineering Manager - Lakeflow Pipeline

At Databricks, we’re on a mission to empower data teams to tackle the world’s most ambitious challenges—whether that’s reimagining global transportation or accelerating medical innovation. We do this by delivering the most advanced data and AI infrastructure on the planet, giving organizations the deep insights they need to transform their industries.

The Lakeflow Engineering team is at the forefront of this mission. We power ETL at massive scale on the Databricks Lakehouse, enabling data engineers everywhere to build high-performance, reliable, and scalable pipelines. We are the pioneers of declarative ETL, with a product line that includes:
Delta Live Tables, Streaming Tables, and Materialized Views—helping users author and run complex data workflows with ease.

We're now looking for a visionary Engineering Leader to lead the Lakeflow Pipelines Engine team into its next chapter. This is a rare opportunity to shape the future of ETL by driving innovation at the intersection of AI, distributed systems, and developer experience. You’ll define the technical strategy, elevate engineering excellence, and cultivate a culture of bold thinking and customer obsession.

• Inspire and lead a world-class team building the next generation of ETL systems—pushing the boundaries of performance, scalability, and usability.
• Champion engineering excellence across system architecture, API design, and operational rigor—with a relentless focus on craftsmanship.
• Shape a long-term technical vision that anticipates industry shifts and aligns with our product roadmap.
• Build and grow exceptional talent—hiring outstanding engineers and mentoring them into future leaders.
• Collaborate deeply across functions to translate real customer needs into innovative, durable solutions.
• Own quality and reliability at scale—delivering systems that are trusted, observable, and built to last.

What We’re Looking For:

• 3+ years of experience leading high-impact engineering teams known for delivering excellence.
• 5+ years building complex, performance-critical systems (e.g., distributed computing, Spark, databases).
• A proven track record of shipping infrastructure that’s powerful, simple, and loved by users.
• A collaborative mindset and experience working closely with product and customers to drive outcomes.
• A deep respect for software craftsmanship and a practical approach to balancing innovation with long-term technical health.
• The ability to attract and nurture top-tier talent while cultivating a culture of trust, ownership, and execution.

Pay Range Transparency

Local Pay Range

$217,000 — $288,400 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

To learn more, follow Databricks on Twitter ,Linked In and Facebook .

Benefits

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

Our Commitment to Diversity and Inclusion

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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.