Data Governance & Quality Engineer

About the role

At Agilent, we are committed to delivering trusted data that enables business growth, operational excellence, and digital transformation. As we continue to modernize our analytics ecosystem through Microsoft Fabric, Power BI, and enterprise data governance capabilities, we are seeking a Data Governance & Quality Engineer to help establish trusted, governed, and business-ready data assets across the Commercial Organization. To strengthen Agilent’s data management foundation by ensuring that critical commercial data assets are clearly defined, cataloged, governed, and aligned to enterprise data standards. By advancing metadata management, data catalog adoption, and sustainable data quality practices, the position will improve commercial readiness and create the trusted data foundation needed for scalable analytics and AI-driven use cases. We are seeking an experienced Data Governance & Quality Engineer to play a key role in shaping Agilent's modern data management landscape. In this role, you will combine data governance and data quality expertise to ensure business-critical data assets are governed, discoverable, trusted, and ready to support operational, analytical, and AI-driven use cases. You will help establish and maintain governance processes for data assets within Microsoft Fabric and enterprise data catalog environments, while partnering with business stakeholders, data owners, architects, and analytics teams to improve the quality, usability, and transparency of commercial data. This role is ideal for a professional who enjoys working at the intersection of business processes