Data Governance, Quality Engineer

🕒 July 16

🌐 United States, Germany, +1 more countries – Remote

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

🦀 Maryland, Pennsylvania – Remote

🦀 Maryland – Remote 🔔 Pennsylvania – Remote

💵 $124.2k - $232.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🔧 QA Engineer (Quality Assurance)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 26%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Establish governance standards, accountability models, processes, governed data products, and enterprise reporting assets for Customer Master Data. • Define and maintain metadata, business context definitions, ownership, stewardship responsibilities, classifications, quality requirements, and certification criteria for critical data assets. • Manage enterprise data catalog content, business glossary entries, lineage documentation, and impact analysis. • Support 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 monitor quality and metadata. • 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, identify risks, establish baselines, and define data quality rules, KPIs, and monitoring processes. • Perform root cause analysis and drive sustainable remediation of data quality issues. • Develop monitoring and scorecard solutions for data quality, governance performance, and commercial readiness. • Advise on system implementations, integrations, business process changes, and digital transformation initiatives. • Partner with Sales, Services, Marketing, and Operations stakeholders to promote data literacy, stewardship, and 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.

🏖️ Benefits

• Eligibility for bonus • Stock • Benefits • Option to work remotely • Occasional travel