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Technical Data Governance Lead at PerkinElmer. Location Information: US Remote - CA, United States. . When joining PerkinElmer, you select an experienced and trusted leader in scientific solutions, with the support of a global service network and distribution centers, providing the right solution, at the right time, to meet critical customer needs. With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world, our dedicated team collaborates closely with commercial, government, academic and healthcare customers to deliver our broad portfolio of analytical solutions, and OneSource services.. Job Title. Technical Data Governance Lead. Location(s). US Remote - CA. Job Responsibilities. Design and build data governance solutions including lineage tracking, metadata management, and data quality controls. Develop automated systems for tracking data provenance and data auditing across our data landscape. Build data quality monitoring tools and remediation processes for large, messy datasets. Create and maintain technical documentation for data assets, processes, and governance rules. Implement and configure data catalog solutions to improve data discovery and understanding. Write code to automate governance workflows and integrate governance into existing data . pipelines. Collaborate with data engineering and analytics teams to embed governance into daily operations. Communicate changes and rationale to internal stakeholders including site leads and general managers. Basic Qualifications: . 5+ years of hands-on experience implementing technical data governance solutions. Strong programming skills in Python, SQL, and other data technologies. Demonstrated experience cleaning and organizing large, messy datasets. Practical knowledge of data lineage tracking and implementation. Experience working with data warehouses, data lakes, and modern data architectures. Track record of building (not just planning) data quality frameworks. Strong documentation skills with examples of technical processes you've documented. Experience implementing metadata management systems or data catalogs. Preferred Qualifications: . Experience in regulated industries with complex data requirements. Knowledge of cloud data platforms like Databricks/Unity Catalog or AWS data services. Experience building data lineage solutions from scratch when commercial tools were insufficient. Background in industries with particularly complex or messy data challenges. Ability to show examples of governance systems you've personally built. PerkinElmer is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics protected by applicable law. PerkinElmer is committed to a culturally diverse workforce..