At Agilent, we are committed to delivering trusted data that enables business growth, operational excellence, and digital transformation. As we continue to modernize our analytics ecosystem through Microsoft Fabric, Power BI, and enterprise data governance capabilities, we are seeking a Data Governance & Quality Engineer to help establish trusted, governed, and business-ready data assets across the Commercial Organization.
To strengthen Agilent’s data management foundation by ensuring that critical commercial data assets are clearly defined, cataloged, governed, and aligned to enterprise data standards. By advancing metadata management, data catalog adoption, and sustainable data quality practices, the position will improve commercial readiness and create the trusted data foundation needed for scalable analytics and AI-driven use cases.
We are seeking an experienced Data Governance & Quality Engineer to play a key role in shaping Agilent's modern data management landscape.
In this role, you will 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. You will help establish and maintain governance processes for data assets within Microsoft Fabric and enterprise data catalog environments, while partnering with business stakeholders, data owners, architects, and analytics teams to improve the quality, usability, and transparency of commercial data.
This role is ideal for a professional who enjoys working at the intersection of business processes, policy, technology, and data governance and who wants to help build the foundation for the next generation of analytics and AI capabilities.
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, governed data products, and enterprise reporting assets
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, with a focus on governed, reusable, and business-ready data assets.
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 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.
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.
Additional Details
This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least September 21, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $124,160.00 - $232,800.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: AdministrationSimilar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
