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 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.
Roles & Responsibilities:
- Define the overall Data Migration Architecture for Mainframe modernization programs
- 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
- Define and enforce data validation frameworks, including:
- Row counts & record balancing
- Control totals and hash reconciliations
- Referential integrity checks
- 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:
The role requires deep, hands‑on expertise in Mainframe Data Migration, including:
- Legacy Mainframe systems (COBOL, JCL, DB2, VSAM, IMS) and their data structures
- 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 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
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.
Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准确。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
