Data Migration Lead

Lead the data migration practice and analysts, owning complex customer migrations from legacy legal and accounting systems through go-live. Build C# and SQL conversion tooling, troubleshoot databases and cloud servers, document migration logic, and guide nontechnical customers through exports. Support AWS and Azure SOC 2 controls, data residency, retention, and AI-assisted development. The summary above was generated by AI

This is a remote position.

The opportunity

Our client serves more than 10,000 financial services firms, and every new customer starts with the same moment of truth: moving years of client, matter, billing and trust accounting data out of their old system and into our client’s platform. If that move goes well, the firm trusts the platform from day one. If it doesn’t, nothing else matters.

Our client is looking for a Data Migration Lead to own that moment. You’ll lead the migration analysts, own the conversion tooling, and personally guide firms through complex moves from legacy legal and accounting systems. Many of these firms have no IT staff of their own, so the role needs someone who is as good at explaining a database export to a managing partner as they are at writing the SQL behind it.

What you’ll do

Lead the migration practice

• Lead and develop the migration analysts. Run the weekly migration meeting to set goals, raise customer concerns and clear blockers.

• Act as the link between DevOps, sales, support and onboarding, aligning on infrastructure, customer priorities and handoffs so every migration fits the onboarding timeline.

• Lead AI adoption for the migration team, including preparing the migration knowledge base for AI-assisted use and bringing AI coding tools into daily development.

Own migrations end to end

• Own complex customer migrations of legal accounting and financial data, from legacy extraction through mapping, validation and go-live.

• Build and maintain the conversion tooling (C# and SQL) that brings data in from the many legal and accounting systems firms move off, plus a staging schema library for clean, repeatable exports.

• Troubleshoot live customer issues on databases and cloud-hosted servers, such as failed exports and stalled imports, and write custom SQL when a firm needs it.

Make it clear and keep it safe

• Write the client-facing technical instructions that let firms with little or no IT support complete their own backup and export steps.

• Document mapping logic, validation rules, exceptions and conversion decisions so every migration is repeatable and auditable.

• Protect client data by supporting SOC 2 controls in AWS and Azure and enforcing data residency and retention rules throughout each migration., Leads the strategy, engineering, validation, and migration of identity data from a legacy IBM IAM platform to a modern IAM solution. Oversees data profiling, cleansing, mapping, transformation, testing, cutover, rollback, and post-migration support while preserving access relationships. Ensures secure handling of identity data and compliance with federal requirements including NIST, FISMA, FedRAMP, and Zero Trust. Coordinates IAM, database, cloud, cybersecurity, infrastructure, application, testing, and business teams across concurrent technical workstreams. Top Skills: APIsAws GovcloudDb2Directory ServicesETLFederation ServicesIamIbm IamMfaOracleSQLZero Trust KATBOTZ LLC

5+ years of hands-on data migration, ideally moving law firms between legal practice management and legal accounting systems.

• Experience leading migration analysts or a similar technical team.

• Strong SQL (SQL Server and Postgres) and C#, plus scripting in Python or PowerShell.

• Deep knowledge of legal accounting data, including billing, trust accounting and matter records, and how it differs across legacy systems.

• Excellent customer-facing communication. You can walk a non-technical firm through a migration and write instructions they can follow on their own.

• Cloud and compliance experience in AWS and Azure, including SOC 2, data residency and retention.

• Comfort with AI coding tools such as Claude Code, and an interest in helping a team use them well.

• A plus: a degree in data science, data analytics or a related field, and experience cutting cloud costs through automation.

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