Data Migration Architect

INFOSYS NOVA HOLDINGS LLCSan Jose, CA
$120,000 - $140,000Onsite

About The Position

We are seeking an experienced Data Migration Architect to lead end-to-end data migration strategy and execution for large-scale Teamcenter implementation programs. The ideal candidate will be responsible for defining migration architecture, assessing legacy data landscapes, designing migration frameworks, and ensuring successful migration of product, engineering, quality, and document data into Teamcenter while maintaining data integrity, traceability, and regulatory compliance. The role requires strong expertise in PLM data migration methodologies, Teamcenter data models, ETL processes, and enterprise-scale transformation programs.

Requirements

  • Team center migration architecture
  • Assessing legacy data landscapes
  • Designing migration frameworks
  • Design source-to-target mapping for Teamcenter object, Items, Revisions, BOMs, Documents, CAD Data

Nice To Haves

  • Experience on migrating product, quality, CAD, and document data from platforms such as Agile PLM, TrackWise, Solidwork PDM Vault,Autodesk Vault, Altium 365, SharePoint, and Documentum will be added advantage
  • Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or a related field.
  • Siemens Teamcenter certification(s) will be an added advantage.
  • Experience with Teamcenter - Siemens Industry Solutions for Hi-Tech industry will be an added advantage.
  • Exposure to regulated industries such as manufacturing, Hi-tech industry, with a strong understanding of validation, compliance, traceability, and audit requirements.

Responsibilities

  • Define and govern the end-to-end data migration strategy, architecture, and roadmap for Teamcenter implementations.
  • Lead source-system discovery, data profiling, inventory assessment, and migration scope definition.
  • Design source-to-target mapping for Teamcenter objects including Items, Revisions, BOMs, Documents, CAD Data, Visualization, Workflows, Change Objects, and Classification Data.
  • Establish data cleansing, transformation, enrichment, deduplication, archival, and retention strategies.
  • Design and oversee data extraction, staging, validation, reconciliation, and loading processes.
  • Lead development of migration solutions, automation utilities, scripts, and accelerators.
  • Ensure data integrity, traceability, referential consistency, auditability, and regulatory compliance.
  • Plan and govern mock migrations, production cutovers, rollback strategies, and hypercare support.
  • Define migration quality metrics, reconciliation reports, and exception management processes.
  • Collaborate with business stakeholders, data owners, SMEs, architects, and technical teams to ensure migration readiness and successful deployment.
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