Data Migration Specialist

EvenUp

About The Position

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com. Role Overview The Data Migration Specialist (SOW) is responsible for planning, executing, validating, and optimizing customer data migrations as part of enterprise EvenUp implementations. This role ensures that historical and active legal data is accurately, securely, and efficiently migrated into the EvenUp platform to support successful go-lives and long-term customer adoption. Working closely with Solution Architects, Technical Program Manager, Product, and Customer Success teams, the Data Migration Specialist translates complex legacy data structures into scalable, compliant data models aligned with EvenUp’s platform and legal operations best practices.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
5–8 years of experience in data migration, data engineering, or technical implementation roles within enterprise SaaS environments.
Proven experience migrating large, complex datasets from legacy systems into modern cloud platforms.
Hands-on experience with ETL processes, APIs, SQL, and data transformation techniques.
Understanding of data governance, security, and compliance best practices.
Experience supporting UAT and go-live activities in complex implementations.
Highly detail-oriented with a strong commitment to data accuracy and quality.
Strong problem-solver who can navigate ambiguous data scenarios.
Excellent communication skills for working with technical and non-technical stakeholders.
Collaborative mindset with the ability to partner effectively with internal and customer teams.
Thrives in fast-paced, customer-facing environments with multiple concurrent projects.
Strong proficiency in SQL and relational data modeling.
Experience with ETL tools, scripting languages (e.g., Python), and API-based data transfers.

Nice To Haves

Relevant certifications (e.g., data engineering, database, cloud, or ETL tools) preferred.
Experience working in regulated industries (legal, financial services, healthcare) strongly preferred.
Experience migrating data for legal case management systems or legal operations platforms.

Responsibilities

Partner with Solution Architects during post-sale discovery to assess customer source systems (e.g., CRM, Accounting, Processes, spreadsheets) and data readiness.
Analyze legacy data structures, field mappings, data quality, and dependencies to identify risks, gaps, and remediation strategies.
Define migration scope, sequencing, assumptions, and success criteria in collaboration with implementation leadership.
Advise customers on data cleanup, normalization, and preparation activities prior to migration.
Design detailed source-to-target data mappings aligned with EvenUp’s data models, workflows, and reporting requirements.
Collaborate with the migration team to ensure migrations support future-state processes, automations, and analytics.
Define transformation rules, validation logic, and exception handling for complex legal data sets.
Contribute to migration “best practices” and reusable templates for common legal workflows.
Build, execute, and manage data migrations using ETL tools, scripts, APIs, or database utilities.
Perform trial migrations, incremental loads, and final cutover migrations in accordance with project timelines.
Coordinate migration activities with platform configuration, integrations, and user acceptance testing (UAT).
Ensure data security, confidentiality, and compliance throughout the migration process.
Develop and execute data validation plans to confirm completeness, accuracy, and integrity.
Partner with customers and the migration team to support UAT and resolve data-related defects.
Support go-live cutover activities and post-migration stabilization.
Troubleshoot and resolve data issues quickly to minimize customer impact.
Document migration plans, mappings, transformation logic, and validation results.
Contribute to internal migration standards, tooling improvements, and automation efforts.
Provide feedback to Product and Engineering teams based on migration learnings and customer data patterns.
Identify opportunities to improve migration efficiency, scalability, and repeatability.