Data Governance & Quality Engineer

Agilent Technologies is modernizing its analytics ecosystem through Microsoft Fabric, Power BI, and enterprise data governance capabilities. The Data Governance & Quality Engineer will establish and maintain governed, discoverable, and trusted commercial data assets by managing metadata, data catalogs, governance standards, and data quality practices. The role partners with business, architecture, engineering, and analytics teams to support operational, analytical, and AI-driven use cases.

Responsibilities:

• Become a subject matter expert in Customer Master Data and partner with business teams to establish governance standards, accountability models, and processes, governed data products, and enterprise reporting assets
• Govern critical data assets by defining and maintaining metadata, business context definitions, ownership, stewardship responsibilities, classifications, quality requirements, and certification criteria
• Manage enterprise data catalog content, business glossary entries, lineage documentation, and impact analysis to keep data assets discoverable, understandable, and trusted
• Support Agilent's adoption of Microsoft Fabric, Power BI, Snowflake, and modern data management capabilities, with a focus on governed, reusable, and business-ready data assets
• Use SQL, Data Catalogs, Power BI, and related tools to analyze data, validate governance controls, and support quality and metadata monitoring activities
• Collaborate with Data Architecture, Data Engineering, and Analytics teams to embed governance, catalog, semantic layer, and monitoring requirements into solution design and delivery
• Profile enterprise data to assess quality, identify risks, establish baselines, and define data quality rules, KPIs, and monitoring processes for critical business data
• Perform root cause analysis and drive sustainable remediation of data quality issues in partnership with business and technical teams
• Develop monitoring and scorecard solutions that provide visibility into data quality, governance performance, and commercial readiness
• Act as a trusted advisor for system implementations, integrations, business process changes, and digital transformation initiatives where data governance and quality are critical to commercial readiness
• Partner with stakeholders across Sales, Services, Marketing, and Operations to promote data literacy, stewardship, and practical governance best practices

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Management, Process Engineering, Business Analytics, Engineering, Mathematics, Statistics, or a related field
• 8+ years of experience in Data Governance, Metadata Management, Data Quality, Analytics, Business Intelligence, or related disciplines
• Strong SQL skills and experience working with large enterprise datasets
• Experience with Power BI, Snowflake, SAP, CRM, HANA, or similar enterprise platforms
• Experience with data catalogs, metadata management, business glossaries, lineage, data ownership models, and stewardship frameworks
• Understanding of modern analytics architectures, and governed data products
• Experience defining and implementing data quality standards, monitoring frameworks, and remediation processes
• Familiarity with Microsoft Fabric or similar cloud-based analytics ecosystems
• Strong analytical, problem-solving, communication, and stakeholder management skills
• Ability to translate business requirements into practical governance and data management solutions