Engineering Manager, CustomerLake Profile Agents

The shape of it

In the posting’s own words

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

What it asks for · 4

• 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
• A track record scaling complex data services to thousands of enterprise customers, including the reliability and governance maturity that requires

Tools and skills named

Words the posting leans on

• data14×
• customer10×
• product9×
• engineering8×
• agents7×
• experience7×
• building5×
• foundation4×
• pipeline4×
• profile agents4×
• services4×
• agentic3×
• architecture3×
• problems3×
• world3×
• bar2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Databricks

• ソリューションアーキテクト (プリセールス)Tokyo, Japan
• デリバリーソリューションアーキテクトTokyo, Japan
• Account ExecutiveBengaluru, India; Mumbai, India
• Account Executive - FederalAustralian Capital Territory, Australia
• Account Executive, SingaporeSingapore
• Accounting ManagerSan Francisco, California