About the role:
As a Foundry QA Lead (Palantir Foundry), you will make an impact by leading quality assurance initiatives for enterprise-scale data platforms, ensuring the reliability, accuracy, and performance of data pipelines across hybrid cloud environments. You will be a valued member of the data engineering and quality assurance team and work collaboratively with architects, data engineers, product owners, business stakeholders, and delivery leaders.
In this role, you will:
- Lead end-to-end testing strategy, planning, execution, and quality governance for enterprise data platforms and analytics solutions.
- Develop and enhance automated data validation frameworks for ingestion, transformation, reconciliation, schema validation, and data quality checks.
- Drive functional, integration, regression, performance, and cloud validation testing across Palantir Foundry and AWS-based data ecosystems.
- Partner with cross-functional teams to define acceptance criteria, identify risks, resolve defects, and improve overall delivery quality.
- Establish testing standards, quality metrics, and governance practices aligned with security, compliance, and data management requirements.
- Mentor QA professionals and data validation teams while promoting scalable automation and testing best practices.
Work model:
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office in San Francisco, California. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- 15+ years of experience in software testing, data engineering, data quality management, or related disciplines.
- Proven experience leading quality assurance efforts for enterprise-scale data platforms, data lakes, and complex data workflows.
- Strong hands-on expertise with Palantir Foundry, PySpark, Spark SQL, advanced SQL scripting, and AWS data services.
- Deep understanding of ETL processes, big data ecosystems, cloud-based architectures, and data pipeline validation.
- Experience building and managing automated testing frameworks, data reconciliation processes, and quality assurance methodologies.
- Strong knowledge of data profiling, anomaly detection, performance testing, defect management, and quality reporting.
- Demonstrated leadership experience managing QA teams and collaborating with technical and business stakeholders.
- Experience supporting projects within the Energy & Utilities industry.
These will help you stand out:
- Palantir Foundry certification or related platform credentials.
- Cloud testing, AWS, or big data certification(s).
- Experience implementing enterprise-wide data quality frameworks and governance programs.
- Knowledge of modern data observability, monitoring, and quality engineering practices.
- Strong communication, stakeholder management, and team mentoring capabilities.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until September 13, 2025
The annual salary for this position is between $ 150,000 - $ 180,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits 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.
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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
