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# Lead Data Migration Engineer

- **Company:** Capgemini
- **Location:** Westlake, TX, United States
- **Experience:** Expert
- **Salary:** $103,330.0 - $128,656.0
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Migration, Data Mining, Dataspaces, Database Design, Distributed Systems, Cloud Platform System, Azure Data Factory
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/lead-data-migration-engineer-509976944

## About the Role

* 10+ years in data engineering / migration roles
 * Expertise in data architecture, distributed systems, and database design
 * Experience with large-scale migrations (cloud, platform modernization)
 * Strong knowledge of ETL tools (Azure Data Factory, Informatica, etc.)
 * Deep understanding of data quality, governance, and compliance
 * Strong leadership and stakeholder management skills
 * Experience with resiliency and stability design principals, including SRE

Impact

 * Enterprise-level influence
 * Sets technical direction and migration standards
 * Critical to delivery success across multiple programs

## Description

Job Location - Westlake TX / Merrimack NH (Day One Onsite - Hybrid) About The Role

 * Stock Plan Services, an equity compensation services division of client, is seeking an experienced Lead Data Migration Engineer who can lead enterprise-wide data migration strategy, architecture, and execution.
 * Drives large-scale migrations across complex systems while influencing organizational direction, standards, and best practices

Key Responsibilities

 * Define and own the data migration strategy and roadmap across programs
 * Lead architecture decisions for data extraction, transformation, and loading (ETL/ELT)
 * Drive cross-functional alignment (Product, Engineering, Data, Business stakeholders)
 * Establish data standards, governance, and best practices
 * Oversee end-to-end migration lifecycle (planning * execution * validation * cutover)
 * Mitigate risks related to data integrity, quality, and performance
 * Design scalable solutions for high-volume, complex data ecosystems
 * Mentor senior engineers and build organizational capability