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: lead metadata management, develop governance standards, manage data catalog content, support adoption of Microsoft Fabric, Power BI, Snowflake, and other platforms; profile data, define quality rules, monitor KPIs, and remediate issues; collaborate with stakeholders across sales, marketing, and operations to promote data literacy and stewardship. Requirements: Bachelor’s/Master’s in a relevant field; 8+ years in data governance, metadata, or analytics; strong SQL skills; experience with enterprise platforms like Power BI, Snowflake, SAP; expertise in data cataloging, lineage, quality standards, and cloud-based analytics ecosystems. Preferred: familiarity with modern analytics architectures, data stewardship frameworks, and digital transformation initiatives. HighValue: focus on commercial customer master data, metadata management, data quality monitoring, platform adoption, and cross-functional stakeholder engagement. WorkSetup: full-time, remote options; occasional travel.