Job Summary
We are seeking an experienced Principal Data Architect professional to lead end‐to‐end migration from legacy systems to modern data platforms. The role involves defining migration strategy and architecture, overseeing execution, ensuring data quality and reconciliation, and managing cutover with minimal business disruption. The candidate will drive governance, handle high‐volume mission‐critical data, and provide leadership across teams to ensure successful, compliant, and efficient data transformation.
Responsibilities
* Define the overall Data Migration Architecture for Mainframe modernization programs
* Drive data decomposition strategies for large and tightly coupled mainframe datasets
* Ensure architecture aligns with performance, security, audit, and compliance requirements
* Oversee data extraction, transformation, loading (ETL/ELT) from Mainframe sources
* Govern batch sequencing, dependency management, restartability, and error handling
* Coordinate with application, testing, and infrastructure teams for integrated delivery
* Define and enforce data validation frameworks, including:
o Row counts & record balancing
o Control totals and hash reconciliations
o Referential integrity checks
o Business rule validations
* Own pre‐ and post‐migration reconciliation sign‐off
* Drive defect triage and root cause analysis for data discrepancies
* Ensure auditability and traceability across migration runs
* Plan and execute mock migrations and dress rehearsals
* Lead cutover planning, including rollback and contingency strategies
* Support parallel runs and controlled transition from Mainframe to target systems
* Work closely with business stakeholders to validate data correctness post go‐live
* Establish migration governance frameworks and reporting mechanisms
* Identify and mitigate data migration risks, including data loss, corruption, and performance bottlenecks
* Provide regular status, risk, and dependency updates to senior stakeholders
* Support client workshops on migration approach, risk posture, and readiness
* Mentor migration architects, data engineers, and testing teams
* Drive best practices, accelerators, and reusable assets for Mainframe migration
* Contribute to future‐state data strategy beyond migration (modernization, analytics, optimization)
Skills Required
* Legacy Mainframe systems (COBOL, JCL, DB2, VSAM, IMS) and their data structures
* Migration of high‐volume, mission‐critical telecom data with strict SLAs and regulatory requirements
* Strong understanding of batch processing, file‐based data movement, and scheduling frameworks
* Experience migrating data to modern data platforms (Cloud DW, Lakehouse, Analytics platforms)
* Data quality, reconciliation, control totals, audit checks, and post‐migration assurance
* Managing cutover, dress rehearsals, and parallel runs in large transformation programs
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