Lead QA Automation Engineer drives end-to-end quality engineering for enterprise data products. This role will lead the design and implementation of scalable test automation frameworks, ensuring data quality, integrity, and reliability across complex data pipelines and platforms. The position will partner with product, engineering, and data teams to embed shift-left testing, establish automation standards, and deliver high-quality, production-ready data solutions.Principle DutiesLead small-to-medium QA initiatives with manageable risks, defining detailed test strategies, automation plans, and execution roadmapsCollaborate with business and IT stakeholders to translate data requirements into testable scenarios, ensuring data quality, validation, and completeness across the data lakeDesign, develop, and maintain test automation frameworks and quality engineering architecture aligned with big data platformsPerform data testing and validation, including data models, pipelines, transformations, and repository/catalog verificationBuild and support automated processes to validate data ingestion from source systems into the data lake, ensuring accuracy and reliabilityProvide team leadership, mentoring QA engineers, driving best practices, and owning overall quality outcomes for the teamDevelop test coverage models, data validation schematics, and capacity-aware testing strategiesDrive continuous improvement a validation performance, and security validationEstablish and implement quality metrics, KPIs, and monitoring frameworks for data testing and automation effectivenessRecommend and enforce QA standards, automation frameworks, and testing processes across data platformsEducationBachelor’s Degree in Arts/Sciences (BA/BS) or equivalent education/ experience - RequiredMaster’s degree in Arts/Sciences (MA/MS) - PreferredWork Experience8+ years big data or relevant experience. Demonstrated ability to quickly learn new technologies - Required8+ years experience with cataloging, modeling, ingestion, processing, and streaming technologies and processes - Required4+ years of Data Analysis experience - RequiredSkills and AbilitiesDemonstrated ability to lead QA teams, drive automation strategy, and influence cross-functional stakeholders - RequiredStrong problem-solving and analytical skills with ability to validate complex data scenarios and communicate insights clearly - RequiredExpertise in data testing (ETL, data pipelines, data lake validation, reconciliation) - RequiredProficiency in SQL and data validation techniques (data completeness, accuracy, lineage checks) - RequiredStrong understanding of CI/CD pipelines and automation integration - RequiredExperience validating data quality rules, transformations, and business logic across data layers - RequiredKnowledge of data security, privacy (PII), and compliance validation - RequiredExperience with API and integration testing (REST, JSON, data contracts) - PreferredHands-on experience with test automation frameworks (Playwright, Selenium, Cypress) for UI + data validation - PreferredExperience working with big data platforms (Hive, Spark, NoSQL, data lake architectures) - PreferredExperience with data warehouse / BI testing (report validation, dashboards, metrics reconciliation) - PreferredFamiliarity with cloud data platforms (Azure, AWS, Snowflake, Databricks) - PreferredExposure to data observability, monitoring, and quality frameworks - PreferredExperience implementing test metrics, KPIs, and quality dashboards - PreferredKnowledge of performance testing for data pipelines - PreferredWhat you can expect from RGA:Gaing colleagues around the world.Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.Jo experience vast, endless career potential.We’re excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience—without considering name, gender, or other personal details—and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you.Compensation Range:$107,060.00 - $159,390.00 AnnualBase pay varies depending on job-related knowledge, skills, experience and market location. provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits.RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.
