Data Governance & Quality Engineer

Role: Data Governance & Quality Engineer focused on establishing and maintaining trusted, governed commercial data assets within Agilent’s modern analytics ecosystem. Responsibilities include defining metadata standards, managing data catalogs, ensuring data quality through profiling, monitoring, and issue resolution, and supporting platform adoption (Microsoft Fabric, Power BI, Snowflake). Collaborates with business stakeholders, data teams, and architects to embed governance, improve data transparency, and enable AI-driven analytics. Qualifications: Bachelor's or higher in a relevant field; 8+ years in data governance, metadata management, or data quality disciplines; strong SQL skills; experience with enterprise platforms like Power BI, Snowflake, SAP, CRM, HANA; familiarity with metadata tools, data catalogs, lineage, and data stewardship frameworks. High-Value: focus on commercial data assets, metadata management, data quality standards, modern cloud-based analytics ecosystems, and cross-functional stakeholder engagement. Work setup: full-time, remote option; occasional travel.