Test Lead – Data Testing
12 months contract
Onsite in Zurich, Switzerland
About the Role
We are looking for Test Lead to design, build, and maintain automation frameworks focused on data-related testing. The successful candidates will play a key role in strengthening our regression testing capability, improving test coverage, and increasing the speed and reliability of our data platform releases.
Key Responsibilities
· Define end-to-end test strategy, test plan, scope, approach, entry/exit criteria, and quality gates across
· Lead test planning, estimation, scheduling, and coordination of SIT, E2E, Regression, and UAT activities across cross-functional teams
· Design, build, and maintain an automation framework for regression testing of data platforms and pipelines
· Develop automated test cases covering data ingestion, transformation, validation, and reconciliation scenarios
· Execute and maintain automated test execution cycles, integrating with CI/CD pipelines
· Identify gaps in existing test coverage and proactively design automated checks to close them
· Collaborate with data engineers, QA, and business teams to understand data flows and translate them into robust test scenarios
· Troubleshoot test failures, distinguishing between genuine data/application defects and test/environment issues
· Document test frameworks, test cases, and results in a clear, maintainable way
· Continuously improve automation coverage, execution speed, and reliability
Required Skills & Experience
· Proven experience leading end-to-end test management for large-scale data transformation, migration, or enterprise platform modernization programs
· Strong, demonstrable understanding of data platforms and enterprise data — data warehouses, data lakes, ETL/ELT pipelines, data models, and data governance concepts
· Experience with SQL and querying large/enterprise datasets to validate data accuracy and integrity
· Familiarity with CI/CD tools and integrating automated tests into deployment pipelines
· Strong analytical and problem-solving skills, with attention to data quality and detail
Preferred / Nice-to-Have
· Experience with cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Azure Synapse, or similar)
· Hands-on experience building test automation frameworks (e.g., for regression testing) rather than only executing pre-built scripts
· Experience with automated test case design and automated test execution, ideally in data-centric environments
· Proficiency in at least one programming/scripting language commonly used in test automation (e.g., Python, Java, or similar)
· Experience with test automation/ETL testing tools (e.g., Selenium, pytest, dbt tests, Great Expectations, or similar)
· Exposure to financial services or enterprise data environments
· Experience working in Agile/Scrum delivery teams
Candidate Profile / Culture Fit
· Deep understanding of data — genuinely curious about how enterprise data platforms work, not just how to test them
· Fast learner, adaptable mindset — able to quickly get up to speed within our fast-paced, quick-learning culture
· Self-starter who can work with ambiguity and evolving requirements
· Strong communicator, able to work closely with both technical (data engineering) and non-technical stakeholders
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.











