Data Governance – Quality Engineer

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🕒 Julho 31

🌐 Estados Unidos, Alemanha, +2 outros países – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇩🇪 Alemanha – Remoto 🇪🇸 Espanha – Remoto 🇬🇧 Reino Unido – Remoto (RU)

💵 $124.160 - $194.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔧 Engenheiro de QA (Qualidade de Software)

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Agilent Technologies

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1999

🍽️ Alimentos e Bebidas

🏥 Saúde

💼 Consultoria

💰 $500.000.000 Post-IPO Debt em 2019-09

Food & Beverage • Healthcare • Consulting

A Agilent Technologies é líder global no campo de instrumentos analíticos e de laboratório. A empresa oferece um portfólio diversificado de produtos e soluções, incluindo cromatografia gasosa e líquida, espectrometria de massas, suprimentos de laboratório, além de software e soluções de informática. A Agilent atende a diversos setores, como o biofarmacêutico, testes de alimentos e bebidas, diagnóstico clínico e análises ambientais. Além disso, a Agilent oferece serviços abrangentes para gestão de laboratórios, manutenção e reparo de instrumentos. A empresa tem forte foco em avançar a ciência por meio de soluções sustentáveis e em apoiar genômica, patologia e pesquisa em câncer com tecnologias avançadas.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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