Data Governance & Quality Engineer

Role: Data Governance & Quality Engineer focused on establishing trusted, governed commercial data assets within Agilent's modern analytics ecosystem. Responsibilities: define and maintain metadata, oversee data catalog content, support adoption of Microsoft Fabric, Power BI, Snowflake; profile data quality, develop KPIs, perform root cause analysis, and drive remediation; collaborate with business stakeholders to promote data literacy and stewardship; act as a trusted advisor for digital initiatives impacting commercial data. Requirements: Bachelor's or Master's in relevant fields; 8+ years in Data Governance, Metadata Management, Data Quality, or BI; strong SQL skills; experience with enterprise platforms like Power BI, Snowflake, SAP, CRM, HANA; expertise in metadata, data cataloging, lineage, stewardship, and data quality standards; familiarity with cloud analytics ecosystems such as Microsoft Fabric. HighValue: enterprise data governance, metadata management, data quality, modern data platforms (Microsoft Fabric, Power BI, Snowflake), commercial data assets, cross-functional stakeholder engagement. WorkSetup: full-time, remote options; occasional travel; day shift.