Engineering Manager, Data Governance

About Entegrata

Entegrata helps law firms turn data into decision-grade insights. Founded in 2023 and headquartered in Indianapolis, we are a venture-backed SaaS company delivering a turnkey, Azure-based data lakehouse platform purpose-built for law firms. Our platform consolidates siloed legal, operational, and financial data into a single governed source of truth, with AI-powered analytics on top. Our mission is to become the data platform of choice for the top law firms in the world.

The Role

Law firms hold some of the most sensitive data in any industry. Before they put it to work, they need to know the numbers are right and that only the right people can see them. Governance makes that trust possible for every dashboard, query and AI agent on our platform.

As the Engineering Manager for Governance, you will lead the team that makes Entegrata’s data unquestionably trustworthy and safe to use. You will own row-level and column-level access control across the platform, including masking and per-firm isolation, and our data quality rules engine, from how rules are defined and run to how issues surface to firms and our own teams. With Product, you will also define the broader governance layer of lineage, auditability and policy, built for the realities of the legal industry.

Reporting to the CTO, you will grow a team of backend, data and frontend engineers and partner with the pipeline, semantic layer, security and client-facing teams so governance is built in, not bolted on. The work starts as a focused initiative and grows into an ongoing product. Your team will build agent-first: you will use AI agents fluently in your own hands-on work and set the practices, guardrails and quality gates your engineers work to. Agents write the first pass; you stay accountable for what ships. This role is for a leader who still loves to build and wants to shape both the team and the product.

Responsibilities

• Team Leadership & Development: Lead and grow a team of backend, data and frontend engineers; hire the open seats, run 1:1s, reviews and career coaching.
• Data Quality Product: Own the data quality rules engine end to end: how rules are defined, run, monitored and surfaced to firms and to our own teams.
• Access Control: Own row-level and column-level access control across the platform, including masking and per-firm isolation, so every consumer (dashboards, SQL, APIs, AI agents) sees only what it should.
• Governance Layer: Define and build the broader governance layer with Product: lineage, auditability and policy, in a legal industry context.
• Hands-On Engineering: Contribute code (approximately 40-60% of your time) and lead design reviews.
• Cross-Functional Partnership: Partner with the data pipeline, semantic layer, data access, security and client-facing teams so governance is built in, not bolted on.

What Success Looks Like: 30-60-90 Days

First 30 Days | Learn and Ship

• Meet the team, partner teams, Security, Product and key client-facing staff in your first two weeks.
• Ship production code in your first two weeks.
• Map the current access control model and data quality rules, and the top issues firms hit, by day 30.
• Open every remaining role on the team and start interviewing.

By 60 Days | Build and Hire

• Get a roadmap for the data quality rules engine and governance layer agreed with Product and the CTO, with dated milestones.
• Define success metrics, such as rule coverage and time to detect data issues, and report a baseline.
• Ship a data quality or access control improvement to production.
• Have offers out for at least half of the team's open roles.

By 90 Days | Own and Deliver

• Have data quality rules running in production for firms, with issues surfaced to the firms and our own teams.
• Show measurable progress against the success metrics set at day 60.
• Run the team at a predictable cadence, hitting its sprint commitments, with every open role filled or in final rounds.
• Have every engineer on the team using AI coding agents in daily work, with shared practices.

Qualifications

• 8+ years of software engineering experience, including 2+ years leading engineers as a manager or tech lead.
• Still hands-on: comfortable writing and reviewing production code for 40-60% of your time.
• Hands-on experience developing with AI coding agents and agentic workflows (for example Claude Code, Cursor or Copilot agents), and leading a team in adopting them: shared practices, guardrails and measuring the impact on delivery.
• Strong experience with a major cloud platform; Azure preferred.
• Proficiency in Go, .NET, Python or similar languages, and strong SQL.
• A track record of hiring well and growing engineers through clear expectations, feedback and coaching.
• Clear written communication and the ability to turn ambiguous business needs into a sequenced plan.
• Hands-on experience with data access control (row-level security, column masking, entitlements) in a multi-tenant system.
• Experience building or running data quality frameworks (for example, Great Expectations, Delta Live Tables expectations, Soda, Monte Carlo).

Nice to Have

• Experience with Databricks Unity Catalog.
• Background in regulated or compliance-heavy industries such as legal, finance, or healthcare.
• Experience with ethical walls tools in the legal industry, such as Intapp Walls or iManage Security Policy Manager (SPM).

Why Join Entegrata?

• Cutting-Edge Technology: Work on an innovative AI-driven data platform transforming legal analytics.
• Growth & Impact: Be a key leader in a fast-growing company shaping the future of legal data intelligence.
• In-Person Collaboration: Work alongside your team in our Chicago office.
• Collaborative Culture: Join a passionate team dedicated to innovation, efficiency, and delivering value to law firms.

Compensation and Benefits

Competitive salary, medical, dental, and vision insurance, 401(k) with employer match, unlimited PTO and company holidays, professional development support, and flexible hybrid work.

Equal Opportunity

Entegrata is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic.