[Hiring] Data Governance & Quality Engineer @Agilent Technologies

Role Description

At Agilent, we are committed to delivering trusted data that enables business growth, operational excellence, and digital transformation. We are seeking a Data Governance & Quality Engineer to help establish trusted, governed, and business-ready data assets across the Commercial Organization.

• Strengthen Agilent’s data management foundation by ensuring critical commercial data assets are clearly defined, cataloged, governed, and aligned to enterprise data standards.
• Advance metadata management, data catalog adoption, and sustainable data quality practices to improve commercial readiness.
• 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.
• Establish and maintain governance processes for data assets within Microsoft Fabric and enterprise data catalog environments.
• Partner with business stakeholders, data owners, architects, and analytics teams to improve the quality, usability, and transparency of commercial data.

Key Responsibilities

• Data Governance & Metadata Management:
  • Become a subject matter expert in Customer Master Data and partner with business teams to establish governance standards, accountability models, and processes.
  • 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.
• Modern Data Platforms & Analytics:
  • Support Agilent's adoption of Microsoft Fabric, Power BI, Snowflake, and modern data management capabilities.
  • 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.
• Data Quality Engineering:
  • 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.
• Business Partnership:
  • Act as a trusted advisor for system implementations, integrations, business process changes, and digital transformation initiatives.
  • Partner with stakeholders across Sales, Services, Marketing, and Operations to promote data literacy, stewardship, and practical governance best practices.

Qualifications

• 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.

Benefits

• Full-time weekly schedule with the option to work remotely.
• Eligibility for bonus, stock, and benefits.
• Pay range: $124,160.00 - $232,800.00/yr, determined by role, level, and location.