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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Migration Architect - Teamcenter - **Company:** Capgemini - **Location:** Seattle, WA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Profiling, Data Architecture, Data Governance, Data Integrity, Data Migration, Data Mining, Data Profiling, Performance Tuning, Systems Integration, Enterprise Data Management, Teamcenter (Software) - **Published:** July 9, 2026 - **Apply:** https://www.capgemini.com/jobs/512608-en_US_SAPBTP/x/ ## About the Role * 15+ years of experience in Data Architecture, Migration Architecture, or Enterprise Data Transformation with a proven track record delivering large-scale migration programs. * Deep hands-on expertise with Siemens Teamcenter data models, PLM architectures, and migration of data from legacy PDM systems. * Strong experience with data quality management, profiling, cleansing, reconciliation, validation frameworks, and migration governance controls. * Demonstrated success leading migration architecture across global onshore-offshore delivery teams and complex enterprise environments. * Experience within Aerospace & Defense, Manufacturing, or other highly regulated industries; exposure to AI-enabled migration and data quality solutions is strongly preferred. ## Description Capgemini is seeking a highly experienced Data Migration Architect to serve as the technical authority for a large-scale Siemens Teamcenter PLM modernization program supporting a major Aerospace & Defense client. This role is responsible for defining and governing the end-to-end migration architecture, including data extraction, transformation, validation, reconciliation, quality controls, and migration performance across a global delivery model. The ideal candidate brings deep expertise in Teamcenter data models, legacy PDM systems, and enterprise-scale engineering data migrations, coupled with a strong understanding of AI-enabled migration approaches., * Architect and lead end-to-end migration solutions for the transition of engineering and product data from legacy PDM systems into Siemens Teamcenter. * Define migration strategies, transformation frameworks, validation rules, reconciliation processes, and governance controls to ensure data integrity and compliance. * Design scalable migration pipelines, workflows, and system integrations capable of supporting large-volume, complex engineering datasets. * Establish data quality frameworks including profiling, cleansing, anomaly detection, validation, and auditability throughout the migration lifecycle. * Drive migration sizing, throughput optimization, performance tuning, and risk mitigation activities to ensure successful program delivery. * Collaborate with business stakeholders, engineering teams, PLM architects, and global delivery teams to align migration architecture with program objectives. * Leverage AI-assisted approaches for data profiling, mapping acceleration, anomaly detection, and migration quality improvement while maintaining traceability and governance ## Related Videos - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Enhancing Workload Security in Kubernetes](https://www.wearedevelopers.com/videos/356-enhancing-workload-security-in-kubernetes) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)