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60 Databricks Director Of Engineering Jobs Hiring Near You

Databricks

Engineering Manager - UI Platform

Seattle, WA · On-site

$182K - $247K/yr

We support hundreds of developers working in the frontend every week, making sure that they can use ... Based on the factors above, Databricks anticipates utilizing the full width of the range. The total ...

Databricks

... Databricks' market growth. The Impact You Will Have * Alongside the Sales Director, you will set ... Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced ...

Databricks

Mission Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Financial Services segment of Databricks' Regulated ...

Databricks

Sr. Manager, Field Engineering

Chicago, IL · On-site +1

FEQ427R411 Req ID Mission Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups segment of Databricks ...

Databricks

Staff Partner Engineer, Azure

New York, NY · Remote

This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams. Impact you will have * Own the Databricks-Azure product-to ...

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Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

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Infographic showing various Director Of Engineering job openings at Databricks in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, and 19% Remote job distribution.

Engineering Manager, CustomerLake Profile Agents

Databricks

New York, NY • Remote

Full-time

Posted 23 days ago

Job description

P-1701

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 + AI platform so our customers can use deep data insights to improve their business. Founded by engineers, we're customer obsessed, leaping at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As an Engineering Manager on CustomerLake, 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. This is our first move into agentic business applications, offering the data foundation of Marketing built natively into the Databricks Lakehouse. Early traction for this new product has been outstanding.
Profile Agents are a key foundation of this product. Building a trustworthy Customer360 has traditionally meant multi-year integration projects and seven or eight figures in professional services just to get a usable golden record. Profile Agents generate the pipelines, matching logic, and identity resolution needed to produce a Customer 360.

The product is early and still being defined, so you'll have real say over the product vision, architecture and how the team operates and scales.
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, 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


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, 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

Apply