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.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
