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Engineering Manager, CustomerLake Profile Agents

Databricks· Engineering
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New York City, NY$190k - $261.3kfull-timePosted 2mo ago

About the role

Engineering Manager on CustomerLake, leading Profile Agents within Databricks’ Customer 360 platform and shaping product, architecture, and engineering foundations for agentic data applications.

Responsibilities

  • 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, since much of what "good" looks like here is still undefined
  • Build the quality bar for agent-generated pipelines: where agents act autonomously, where they need human review, and how we validate correctness against customer data
  • Work directly with customers and design partners to help turn their Customer360 problems into engineering priorities
  • You will have lots of room for growth by joining one of the fastest growing teams in one of the fastest growing Data + AI companies in the world

Qualifications

  • 3+ years of engineering management experience leading high-performing engineering teams
  • 8+ years of experience building and operating production data or distributed systems, with the hands-on depth to set a technical bar for the team
  • Experience building or leading teams that ship data engineering products such as ETL, MDM, or data quality tooling, and an understanding of why Customer 360 projects are typically so expensive and slow
  • Hands-on experience applying agents or LLMs to data engineering problems like matching, entity resolution, or pipeline generation, with a clear view on where agent autonomy helps versus where humans need to stay in the loop
  • Genuine passion and prior experience taking a product from 0 to 1: comfortable defining process and architecture with no existing playbook
  • 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, including the reliability and governance maturity that requires
  • Experience managing multiple teams or other managers is a strong plus
  • BS or higher in Computer Science or a related field, or equivalent experience

Skills

Required:Engineering managementProduction data systemsData engineering product leadership
Nice to have:Agentic data/problem solving with agents or LLMs

Benefits

  • Benefit details available via regional link (pay and benefits information provided in job description)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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