Data Migration Lead and Architect

Jobdesc:

• Own and govern the end‑to‑end data migration strategy and architecture, ensuring that data is migrated accurately, securely, and in alignment with target system architecture and business requirements.

• Define the overall data migration strategy, including: Migration approach (phased vs big‑bang), Cutover and rollback strategy, Data scope, sequencing, and dependencies

• Assess and analyze: Legacy/source systems, Data structures, volumes, and data quality risks

• Design Source‑to‑target data architecture and migration patterns, Data transformation, validation, and reconciliation approach

• Define and review Data mapping standards, Data quality rules and acceptance criteria

• Ensure alignment with Target application architecture (ERP / COTS / custom), Enterprise data standards and governance

• Identify and mitigate risks related to Data loss, corruption, duplication, and security exposure

• Oversee migration testing, dress rehearsals, cutover execution, and post‑migration validation

• Provide migration status, risk updates, and readiness assessments to project leadership

Req:

Minimum 11–16 years total IT / data experience 6+ years as Data Migration Architect / Data Architect

Proven experience leading large‑scale or mission‑critical data migration programs

-Strong expertise in enterprise data architecture and migration design

• Hands‑on experience with: Source‑to‑target data mapping and lineage, Data transformation and reconciliation frameworks

• Familiar with data migration in: ERP / packaged solutions (e.g., SAP S/4HANA, Oracle), Custom or platform‑based applications

• Solid understanding of: ETL / ELT concepts and tooling, Data quality, profiling, and cleansing strategies

• Knowledge of: Data governance, access control, and audit trail requirements, Cutover planning and rollback strategies

• Able to translate business rules into enforceable data transformation logic

• ETL/ELT: SAP Data Services/SLT, Oracle Data Integrator, Azure Data Factory, Informatica/Talend.

• Database/Storage: Oracle/SQL Server/PostgreSQL, Azure SQL/Data Lake; performance & batch window.

• Data Quality: rules, profiling, matching, referential integrity; audit & reconciliation. Security & Privacy: masking/anonymization, encryption, role based access, UU PDP and other relevan regulatory policy

Ready to join ASAP is preferably