Data Governance Engineering Manager Hybrid Unlimited PTO

Entegrata; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401(k) with employer match

Unlimited PTO

Hybrid work

Job summary

Entegrata seeks an Engineering Manager for Governance in Chicago to lead the team ensuring data is trustworthy and secure across the platform.

You will own access control and data quality rules, shape the governance layer with product, and mentor backend, data, and frontend engineers. You will code 40–60% while guiding architecture and pipeline collaboration.

This role blends hands-on building with leadership in a fast-growing AI-driven data platform for law firms.

Qualifications

• 8+ years of software engineering experience, including 2+ years in people management.
• Hands-on: comfortable writing and reviewing production code 40–60% of the time.
• Experience with AI coding agents and agentic workflows.
• Strong cloud experience; Azure preferred.
• Proficient in Go, .NET, Python and SQL.
• Proven ability to hire, coach, and grow engineers.
• Clear written communication and ability to turn ambiguous needs into a plan.
• Experience implementing data access control (row-level and column-level) in multi-tenant systems.

Responsibilities

• Lead and grow the governance engineering team.
• Own data quality rules engine end to end.
• Own row-level and column-level access control.
• Define governance layer with Product: lineage, auditability and policy.
• Contribute code (40–60% of time) and lead design reviews.
• Collaborate with data pipeline, semantic layer, security and client-facing teams.

Skills

Go

.NET

Python

SQL

Leadership

Tools

Azure

Job description

Entegrata seeks an Engineering Manager for Governance in Chicago to lead the team ensuring data is trustworthy and secure across the platform.

You will own access control and data quality rules, shape the governance layer with product, and mentor backend, data, and frontend engineers. You will code 40–60% while guiding architecture and pipeline collaboration.

This role blends hands-on building with leadership in a fast-growing AI-driven data platform for law firms.