About Cognizant
At Cognizant (Nasdaq: CTSH), we're in the business of making the future work — for our clients, our communities, and the people who build it alongside us. As a leading AI Builder and technology services company, we bring together a global team of 300,000+ associates across 50+ countries to help the world's biggest organizations modernize, innovate, and grow. We don't just talk about transformation; we engineer it, one complex challenge at a time. If that sounds like the kind of place you want to do your best work, explore more at cognizant.ai.
About the Role
This is a pivotal leadership opportunity at the intersection of data engineering, quality assurance, and enterprise-scale transformation. As a Test Manager, you will own the end-to-end testing strategy for ETL processes and Data Warehouse migration projects — most notably migrations from legacy on-premises environments to modern cloud platforms such as Snowflake. Operating within the banking domain, you will be the driving force ensuring data integrity, performance, and regulatory compliance throughout every phase of migration. This is not a back-office quality role — it is a strategic position where your decisions directly shape the reliability of mission-critical financial data.
What You'll Do
You will define and lead the overall test strategy, scope, and objectives across multiple concurrent migration projects, keeping everything aligned with Agile sprint cycles and release readiness gates. You set the quality bar — establishing KPIs, defect benchmarks, and test coverage targets — and then you hold the line on them.
On a day-to-day basis, you serve as the connective tissue between QA engineers, developers, product owners, and business stakeholders across finance, compliance, and IT. You translate regulatory and business requirements into actionable test plans, then track progress with metrics that tell a real story: defect trends, test coverage gaps, and release readiness signals.
You will lead ETL testing across banking data domains — customer data, transactions, and risk analytics — applying the right validation technique for each pipeline and data tier. You champion shift-left practices and continuous testing, proactively identifying automation opportunities that reduce regression cycles and integration testing overhead. Alongside this, you will manage synthetic test data generation and oversee test data environments in Snowflake, including UAT, to ensure secure and scalable testing conditions.
Managing the human side of quality is equally important. You allocate resources, manage timelines, conduct risk assessments, and implement mitigation strategies when challenges arise. You facilitate planning sessions and stakeholder reporting, and you invest time in mentoring junior testers — building a team culture grounded in accountability, curiosity, and a genuine commitment to quality.
What We're Looking For
You bring deep, hands-on experience in ETL testing — ideally with IDMC (Informatica) — and you have navigated all phases of the project lifecycle: System Testing, UAT, Integration Testing, parallel runs, cutover, and BI reports testing. You know how to adapt your testing approach as a project evolves, and you understand what "done" truly looks like in a regulated banking environment.
You have led or been a central contributor to at least one end-to-end Data Warehouse migration project, preferably a Teradata-to-Snowflake migration, and you are familiar with the architectural nuances that make Snowflake different — including its separation of storage and compute. You are comfortable navigating audit readiness requirements and data governance policies, and you understand the compliance landscape well enough to keep testing aligned with banking regulations.
Beyond the technical, you are a natural communicator and collaborator. You thrive in cross-functional environments, you manage change with clarity, and you know how to bring stakeholders along on the journey — from initial planning through to post-migration validation.
Technical Skills
ETL & Data Tools: Informatica PowerCenter, IDMC, Snowflake (Time Travel, Cloning, Micro-partitions, Streams & Tasks)
Cloud Platforms: Microsoft Azure (primary), with working knowledge of AWS and GCP; Snowflake integration experience across all three
Data Warehousing: End-to-end DWH migration experience; strong understanding of on-premises to cloud migration patterns (Teradata to Snowflake preferred)
SQL: Advanced proficiency — this is non-negotiable
Scripting: Python, Shell, or PowerShell for automation of repeatable tasks and ETL validation workflows
Testing Scope: Full lifecycle — System, UAT, Integration, parallel run & cutover, and BI/reporting layer testing
Infrastructure: Experience with hybrid environments spanning on-premises, cloud, and big data platforms
We're excited to meet people who share our passion for quality and can make a real impact in a high-stakes data environment. If you meet most but not all, of the requirements above, don't hesitate to apply. Your unique perspective and transferable experience may be exactly what we're looking for.
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。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。
