Data Governance & Quality Engineer

Agilent Technologies is seeking an experienced Data Governance & Quality Engineer to play a key role in shaping their modern data management landscape. The successful candidate will combine data governance, metadata management, and data quality expertise to ensure business-critical data assets are governed, discoverable, trusted, and ready to support various use cases.

Responsibilities:

• Govern critical data assets by defining and maintaining metadata, business 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
• Partner with data owners and subject matter experts to establish governance standards, accountability models, and processes for semantic models, governed data products, and enterprise reporting assets
• 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, Snowflake, 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, Business Analytics, Engineering, Mathematics, Statistics, or a related field
• 3+ 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 semantic models, 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
• Ability to translate business requirements into practical governance and data management solutions