Description
As an Engineering Manager on CustomerLake at Databricks, you will lead the team building Profile Agents, shaping the product, architecture, and engineering foundation behind Databricks' Customer 360 platform.
CustomerLake is Databricks' new Agentic CDP, launched at Data + AI Summit 2026, offering the data foundation of Marketing built natively into the Databricks Lakehouse.
Profile Agents generate the pipelines, matching logic, and identity resolution needed to produce a Customer 360.
The impact you will have:
- Own delivery for Profile Agents, from identity resolution and agentic pipeline generation through to production-quality Customer 360 outputs
- Hire and grow a small, senior team, and build the foundation it scales from as the product moves out of private preview
- Help set technical direction with product and the VP of Engineering
- Build the quality bar for agent-generated pipelines
- Work directly with customers and design partners to help turn their Customer360 problems into engineering priorities
What we look for:
- 3+ years of engineering management experience leading high-performing engineering teams
- 8+ years of experience building and operating production data or distributed systems
- Experience building or leading teams that ship data engineering products such as ETL, MDM, or data quality tooling
- Hands-on experience applying agents or LLMs to data engineering problems
- Genuine passion and prior experience taking a product from 0 to 1
- Ideally, some understanding of how customer data is used downstream in marketing, sales, and service
- A track record scaling complex data services to thousands of enterprise customers
- Experience managing multiple teams or other managers is a strong plus
- BS or higher in Computer Science or a related field, or equivalent experience
Pay Range Transparency: The pay range(s) for this role is $190,000-$261,250 USD.
Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.