# Engineering Manager, CustomerLake Profile Agents

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** New York, NY
**Role:** Engineering Management
**Salary:** $190k – $261k/yr
**Experience:** 8+ years
**Skills:** Data Engineering, Distributed Systems, ETL, master data management, Data Quality, customer 360, LLMs, entity resolution, identity resolution, Data Pipelines, production systems, Data Governance, reliability engineering
**Posted:** 2026-08-13

> Leads the team building Profile Agents for Databricks’ CustomerLake agentic customer data platform, owning delivery, architecture, product direction, and team growth. The role requires engineering management experience, deep production data or distributed-systems expertise, and hands-on experience applying agents or LLMs to data engineering.

## Job Description

## Responsibilities
- Own delivery for Profile Agents, from identity resolution and agentic pipeline generation through production-quality Customer 360 outputs.
- Hire and grow a small, senior team and build the foundation for scaling as the product moves out of private preview.
- Set technical direction with Product and the VP of Engineering while product requirements and best practices are still being defined.
- Establish quality standards for agent-generated pipelines, including when agents act autonomously, when human review is required, and how correctness is validated against customer data.
- Work directly with customers and design partners to turn Customer 360 problems into engineering priorities.

## Requirements
- 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.
- Understanding of the challenges that make Customer 360 projects expensive and slow.
- Hands-on experience applying agents or LLMs to data engineering problems such as matching, entity resolution, or pipeline generation.
- Ability to assess where agent autonomy helps and where humans should remain in the loop.
- Experience taking a product from 0 to 1 and defining process and architecture without an established playbook.
- Track record scaling complex data services to thousands of enterprise customers, including the required reliability and governance maturity.
- Bachelor's degree or higher in Computer Science or a related field, or equivalent experience.

## Nice-to-haves
- Understanding of how customer data is used downstream in marketing, sales, and service.
- Experience managing multiple teams or other managers.

## Compensation
- Local pay range: $190,000–$261,250 USD.
- Total compensation may also include an annual performance bonus, equity, and benefits.

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