Data Governance – Quality Engineer

Job not on LinkedIn

🔥 19 minutes ago

🌐 United States, Germany, +2 more countries – Remote

🇺🇸 United States – Remote 🇩🇪 Germany – Remote 🇪🇸 Spain – Remote 🇬🇧 United Kingdom – Remote

💵 $124.2k - $194k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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Agilent Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🍽️ Food & Beverage

🏥 Healthcare

💼 Consulting

💰 $500M Post-IPO Debt on 2019-09

Food & Beverage • Healthcare • Consulting

Agilent Technologies is a global leader in the field of analytical and laboratory instruments. The company offers a diverse range of products and solutions, including gas and liquid chromatography, mass spectrometry, lab supplies, and software and informatics. Agilent serves various industries, such as biopharma, food and beverage testing, clinical diagnostics, and environmental testing. Additionally, Agilent provides comprehensive services for lab management, maintenance, and instrument repair. They focus heavily on advancing science through sustainable solutions and supporting genomics, pathology, and cancer research with advanced technologies.

📋 Description

• 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.

🏖️ Benefits

• Eligibility for bonus • Stock options • Health insurance • Professional development opportunities