Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture

Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.

At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Job Summary:

We are seeking an experienced Data migration Architect professional to lead end‑to‑end migration from mainframe IBM DB2 to Postgress on AWS platform. The role involves defining migration strategy and architecture, overseeing execution, ensuring data quality and reconciliation.

Roles & Responsibilities:

• Design scalable source‑to‑target data models, mapping legacy structures to modern platforms
• Establish migration patterns (big‑bang, phased, wave‑based, or domain‑wise)
• Drive data decomposition strategies for large and tightly coupled mainframe datasets
• Ensure architecture aligns with performance, security, audit, and compliance requirements
• Lead end‑to‑end data migration delivery across multiple pods / workstreams
• Oversee data extraction, transformation, loading (ETL/ELT) from Mainframe sources
• Govern batch sequencing, dependency management, restartability, and error handling
• Ensure zero or minimal business disruption during migration cycles
• Coordinate with application, testing, and infrastructure teams for integrated delivery
• 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.

Skills Required:

The role requires deep, hands‑on expertise in Data Migration, including:

• Building Data migration Automation using Claude Agents and exposure on API programming language
• End‑to‑end legacy‑to‑target data migration covering extraction, transformation, validation, and reconciliation
• 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 Postgress on AWS cloud platform.
• Experience in Python , Pyspark.
• Data quality, reconciliation, control totals, audit checks, and post‑migration assurance.

Benefits:

Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.

We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

• You can pursue innovative career tracks and opportunities here
• You can enhance your professional development through education and dedicated training
• We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

• Design scalable source‑to‑target data models, mapping legacy structures to modern platforms
• Establish migration patterns (big‑bang, phased, wave‑based, or domain‑wise)
• Drive data decomposition strategies for large and tightly coupled mainframe datasets
• Ensure architecture aligns with performance, security, audit, and compliance requirements
• Lead end‑to‑end data migration delivery across multiple pods / workstreams
• Oversee data extraction, transformation, loading (ETL/ELT) from Mainframe sources
• Govern batch sequencing, dependency management, restartability, and error handling
• Ensure zero or minimal business disruption during migration cycles
• Coordinate with application, testing, and infrastructure teams for integrated delivery
• 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.

• Building Data migration Automation using Claude Agents and exposure on API programming language
• End‑to‑end legacy‑to‑target data migration covering extraction, transformation, validation, and reconciliation
• 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 Postgress on AWS cloud platform.
• Experience in Python , Pyspark.
• Data quality, reconciliation, control totals, audit checks, and post‑migration assurance.