Sr. Palantir Foundry QA Tester

What the role needs

• Lead test strategy, planning, execution, and quality governance for large-scale data platforms and pipeline initiatives.
• Develop and maintain automated validation frameworks for data ingestion, transformation, reconciliation, schema validation, and data quality testing.
• Execute and oversee functional, integration, regression, performance, and cloud-based testing activities.
• Collaborate with cross-functional teams to define acceptance criteria, identify defects, and drive resolution throughout the development lifecycle.
• Monitor quality metrics, automation effectiveness, and defect trends while promoting testing best practices and continuous improvement.
• What you need to have to be considered:
• 10+ years of experience in software testing, data quality assurance, data engineering, or a related field.
• Strong hands-on experience with PySpark, Spark SQL, and advanced SQL scripting .
• Experience testing ETL processes, big data environments, cloud platforms, and enterprise data pipelines .
• Proven expertise in test automation, data validation, reconciliation, defect management, and quality assurance methodologies.
• Experience working with AWS-based data services and distributed data processing platforms.
• Strong communication and stakeholder management skills with the ability to collaborate across technical and business teams.

From the employer

About the role As a Senior Palantir Foundry QA Tester , you will make an impact by ensuring the quality, reliability, and accuracy of enterprise-scale data platforms and data pipelines across cloud and hybrid environments. You will be a valued member of the Data Engineering and Quality Assurance team, working closely with architects, data engineers, product owners, and business stakeholders to deliver trusted data solutions that support critical business decisions. In this role, you will: • Lead test strategy, planning, execution, and quality governance for large-scale data platforms and pipeline initiatives. • Develop and maintain automated validation frameworks for data ingestion, transformation, reconciliation, schema validation, and data quality testing. • Execute and oversee functional, integration, regression, performance, and cloud-based testing activities. • Collaborate with cross-functional teams to define acceptance criteria, identify defects, and drive resolution throughout the development lifecycle. • Monitor quality metrics, automation effectiveness, and defect trends while promoting testing best practices and continuous improvement. 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 attendance 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: • 10+ years of experience in software testing, data quality assurance, data engineering, or a related field. • Strong hands-on experience with PySpark, Spark SQL, and advanced SQL scripting . • Experience testing ETL processes, big data environments, cloud platforms, and enterprise data pipelines . • Proven expertise in test automation, data validation, reconciliation, defect management, and quality assurance methodologies. • Experience working with AWS-based data services and distributed data processing platforms. • Strong communication and stakeholder management skills with the ability to collaborate across technical and business teams. • Experience within the Energy & Utilities industry. These will help you stand out: • Experience with Palantir Foundry for data integration, transformation, and validation. • Background leading QA initiatives for enterprise-scale data modernization programs. • Knowledge of data profiling, anomaly detection, and performance testing practices. • Experience mentoring QA teams and establishing testing standards and governance frameworks. • Relevant certifications in Palantir Foundry, cloud technologies, big data, or software testing. 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. Salary and Other Compensation : Applications will be accepted until November 08, 2026 The annual salary for this position is between $ 110,000 - $ 115,000 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. 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. Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India. 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.