Data Governance – Quality Engineer

This is a fully remote position, open to applicants in United States, +3 more countries.

📋 Description

• Oversee essential data assets by establishing and upholding metadata, business definitions, ownership, stewardship roles, classifications, quality standards, and certification criteria.

• Administer content within the enterprise data catalog, including business glossary entries, lineage documentation, and impact assessments to ensure data assets are discoverable, comprehensible, and reliable.

• Collaborate with data owners and subject matter experts to create governance standards, accountability frameworks, and processes for semantic models, governed data products, and enterprise reporting assets.

• Facilitate Agilent's implementation of Microsoft Fabric, Power BI, Snowflake, and contemporary data management capabilities, emphasizing governed, reusable, and business-ready data assets.

• Utilize SQL, Snowflake, Power BI, and associated tools to analyze data, validate governance controls, and assist in quality and metadata monitoring efforts.

• Work in tandem with Data Architecture, Data Engineering, and Analytics teams to integrate governance, catalog, semantic layer, and monitoring requirements into the design and delivery of solutions.

• Analyze enterprise data to evaluate quality, identify risks, set baselines, and define data quality rules, KPIs, and monitoring processes for critical business data.

• Conduct root cause analysis and implement sustainable solutions to data quality issues in collaboration with business and technical teams.

• Create monitoring and scorecard solutions that enhance visibility into data quality, governance performance, and commercial readiness.

• Serve as a trusted advisor during system implementations, integrations, business process modifications, and digital transformation initiatives where data governance and quality are vital for commercial success.

• Collaborate with stakeholders across Sales, Services, Marketing, and Operations to foster data literacy, stewardship, and effective governance best practices.

⛳️ Requirements

• A Bachelor's or Master's degree in Computer Science, Information Management, Business Analytics, Engineering, Mathematics, Statistics, or a related area.

• Over 3 years of experience in Data Governance, Metadata Management, Data Quality, Analytics, Business Intelligence, or related fields.

• Proficient in SQL with experience handling large enterprise datasets.

• Familiarity with Power BI, Snowflake, SAP, CRM, HANA, or comparable enterprise platforms.

• Experience with data catalogs, metadata management, business glossaries, data lineage, ownership models, and stewardship frameworks.

• Knowledge of semantic models, modern analytics architectures, and governed data products.

• Proven experience in defining and executing data quality standards, monitoring frameworks, and remediation procedures.

• Familiarity with Microsoft Fabric or similar cloud-based analytics environments.

• Capability to convert business requirements into actionable governance and data management solutions.

🏝️ Benefits

• Eligibility for bonus

• Stock options

• Health insurance

• Professional development opportunities