Data Migration Engineer

The Opportunity

Brightflag is the fastest growing company in the legal tech space and the #1 rated enterprise legal management product on G2. We’re bringing a trailblazing product, which is truly differentiated, to a fast growing market. And we are continuing to invest heavily in product and customer success. This means that our Customer Success teams support our customers to deliver significant business impact from our solution. We help legal functions transform and partner with customers to create genuine value for their businesses. Sound like a fit for you?

Brightflag is seeking an ambitious, highly motivated Data Migration Engineer who brings not only strong hands-on data transformation skills but also the technical expertise and creativity to improve and automate how we deliver migration work. You will join a team of highly skilled Implementation Consultants responsible for onboarding new customers and accelerating their time to value. In this role, you will execute data migration tasks—while also designing better, faster, more scalable ways of performing those tasks. You will work cross-functionally with Customer Success Managers (CSMs), Support, Sales, Product, and Engineers within Brightflag.

To excel in this role, you will combine strong data expertise with hands-on programming capability to design, build, and continuously improve a repeatable, scalable data migration process from legacy legal systems into Brightflag. You will be comfortable working with complex data schemas and models, transforming and validating data to ensure accuracy and integrity, and translating ambiguous source data into well-structured target formats. You will apply your coding skills to develop, automate, and maintain scripts or applications that reduce manual effort and improve reliability, while independently managing multiple concurrent migration projects, proactively prioritizing work, and driving solutions forward with minimal oversight.

 

What You Will Be Doing

• Continuously refine and optimize migration processes based on project learnings to improve scalability and repeatability
• Design and build automation scripts, templates, or internal tools to improve efficiency, consistency, and reliability
• Independently manage multiple concurrent migration projects, including planning, prioritization, and execution
• Collaborate with Implementation Managers and customer stakeholders to define requirements and ensure successful migrations
• Evaluate customer data structures, relationships, and data quality across diverse legacy systems
• Identify, design, and implement data cleansing, normalization, and transformation logic
• Create and maintain clear source-to-target data mapping and migration documentation
• Develop migration plans, timelines, and effort estimates, proactively identifying risks and dependencies
• Use scripting languages, automation tools, or AI-assisted workflows to extract, transform, and validate large datasets efficiently
• Load validated and transformed data into Brightflag using internal migration tools
• Develop and execute test plans to verify accuracy, integrity, and completeness of migrated data
• Troubleshoot and resolve data discrepancies, migration failures, or unexpected edge cases
• Maintain clear documentation of migration logic, processes, and outcomes for reuse and continuous improvement
• Support end-users post-migration and address data quality concerns as they arise
• Proactively identify process gaps and collaborate with Product or Engineering on enhancements or potential API integrations
• Assist Professional Services leadership with effort estimation, capacity planning, and scoping for upcoming migrations

 

Skills & Experience

• 3+ years' hands-on experience working with large datasets, including data transformation, data modelling, and data analysis
• Proficiency with at least one scripting or programming language (e.g., Python, SQL, Java) used to build, maintain, and automate data processing workflows
• Experience applying automation or AI-assisted tools to streamline repetitive workflows and improve data quality, consistency, or reliability
• Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex data issues
• Effective communication and collaboration skills, in