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Metadata Engineer Jobs (NOW HIRING)

Informatica Metadata Manager

Charlotte, NC

$52 - $68.25/hr

Metadata Lineage * Design and implementation of a Metadata Repository. * Design and development of customizable interface for consumers of information within the Metadata Repository. * Support for ...

Data Architect - Active Metadata

$65.25 - $84/hr

Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair). • Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair). - Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning ...

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Metadata Engineer information

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$127.5K

$168.5K

How much do metadata engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for metadata engineer in the United States is $166,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,000.00 and $167,000.00 per year, depending on experience, location, and employer.

How much do Meta engineers get paid?

Meta engineers typically earn a base salary ranging from $100,000 to $180,000 annually, depending on experience, location, and role level. Total compensation often includes bonuses, stock options, and benefits, which can significantly increase overall earnings.

How does a Metadata Engineer typically collaborate with data governance and engineering teams?

Metadata Engineers play a crucial role in bridging the gap between data governance and engineering teams. They are responsible for designing and maintaining metadata repositories, ensuring data assets are well-documented and easily discoverable. On a daily basis, Metadata Engineers work closely with data engineers to implement metadata capture and lineage tracking, and they partner with governance teams to establish data quality and compliance standards. Effective collaboration is essential for maintaining data integrity and supporting organizational data strategies.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their expertise in tools like SQL, Python, and cloud platforms remains critical in managing complex data systems.

What engineers make $300,000 a year?

Senior-level engineers in specialized fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. These roles often require expertise in programming, cloud platforms, and relevant certifications, and may include bonuses and stock options.

What are the key skills and qualifications needed to thrive as a Metadata Engineer, and why are they important?

To thrive as a Metadata Engineer, you need a strong background in data modeling, metadata standards, and database management, often supported by a degree in computer science or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, data catalog systems, and sometimes certifications in data governance are commonly required. Attention to detail, analytical thinking, and effective cross-team communication are crucial soft skills for this role. These skills ensure accurate metadata organization, support data discoverability, and enable effective data governance across an organization.

What is the difference between Metadata Engineer vs Data Engineer?

AspectMetadata EngineerData Engineer
Required CredentialsBachelor's in Computer Science, Information Systems, or related fields; certifications in data management or metadata standardsBachelor's in Computer Science, Software Engineering, or related fields; certifications in data engineering or cloud platforms
Work EnvironmentData management teams, data governance, data catalogingData pipelines, database architecture, big data platforms
Employer & Industry UsageTech companies, data-driven organizations, data management firmsTech companies, finance, healthcare, e-commerce, any industry handling large data sets

While both roles involve working with data, Metadata Engineers focus on managing data descriptions, standards, and catalogs to ensure data is discoverable and well-documented. Data Engineers build and maintain data pipelines and infrastructure to enable data analysis and reporting. Understanding these differences helps organizations assign the right roles for their data needs.

What are Metadata Engineers?

Metadata Engineers are specialized IT professionals who design, implement, and manage systems that capture, structure, and utilize metadata—data that describes other data—within an organization. Their work supports data governance, improves data discoverability, and enhances the consistency and quality of information across databases and platforms. Metadata Engineers often collaborate with data architects, data stewards, and business analysts to ensure that data assets are properly cataloged and easily accessible for analysis and compliance purposes.
More about Metadata Engineer jobs
What job categories do people searching Metadata Engineer jobs look for? The top searched job categories for Metadata Engineer jobs are:
Infographic showing various Metadata Engineer job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $166,304 per year, or $80 per hour.

Metadata / Data Cataloging Senior Analyst

Guidehouse

Mclean, VA • On-site

$86K - $109K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:

Data Engineering & Architecture Consulting


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

The Metadata / Data Cataloging Lead (Managing Consultant) leads and executes enterprise metadata baselining and catalog operationalization, with deep hands-on responsibility for configuring and using data catalog platforms to deliver measurable improvements in data discoverability, metadata quality, governance workflows, lineage, and semantic search. Building on structured metadata intake and validation, this role goes further by driving implementation-level outcomes: establishing catalog operating models, configuring metadata schemas and stewardship workflows, integrating technical metadata harvesting, and improving search relevance through semantic enrichment (e.g., taxonomy/ontology alignment, synonyms, knowledge-graph relationships, and catalog curation practices).

This role also leads hands-on evaluation and selection of catalog solutions (AoA) and supports pilots that prove capabilities such as semantic search, catalog population, and lineage visualization-producing evidence-based findings and decision-quality recommendations aligned to client priorities.

Key Responsibilities

1) Lead structured metadata intake, normalization, and enterprise baselining

  • Lead and perform in-person/virtual interviews and working sessions with system owners, data stewards, custodians, and SMEs to capture and normalize technical, business, operational, and security metadata into catalog-ready records.

  • Own completeness and consistency checks; drive discrepancy resolution and steward validation cycles; ensure records are ready for ingestion and ongoing maintenance.

2) Configure and operationalize catalog capabilities

  • Configure catalog structures and operating patterns: domains, asset types, metadata templates, certification/attestation workflows, stewardship roles, approval gates, and change control.

  • Define and operationalize metadata quality controls (required attributes, validation rules, refresh cadence, auditability) and establish an evidence trail for governance reporting.

  • Partner with engineering teams to implement integration patterns (connectors/APIs) sufficient to support ingestion/harvesting, lineage capture, and role-based access constructs.

3) Semantic search enablement

  • Lead and execute semantic search enablement across the catalog by implementing and curating:

    • taxonomy/ontology alignment, business glossary harmonization, synonym mapping, and semantic tagging protocols

    • search relevance improvements via metadata enrichment and curated relationships (e.g., knowledge-graph style linking)

    • measurement of search quality (precision/recall proxies, click-through, "time-to-find," zero-result queries, adoption metrics)

  • Support evaluation and demonstration of semantic search and discovery maturity (natural language queries, faceted discovery, ranking relevance, and cross-domain linking) as required by client objectives.

4) Lead AoA / tool evaluation and selection

  • Lead structured evaluations of catalog solutions (discovery, glossary, lineage, workflow, UX, APIs, security/access, vendor support), including demo scripting, evidence capture, gap analysis, and comparative scoring inputs.

  • Produce decision-quality artifacts (evidence logs, comparison matrices, tradeoff synthesis, recommendation inputs) and facilitate stakeholder workshops to converge on priorities.

5) Governance pilots, lifecycle workflows, and federated readiness

  • Lead governance and lifecycle pilots: federated stewardship readiness (role clarity, escalation, audit traceability) and data product lifecycle workflows (publish/discover/change control/versioning/SLA/deprecate).

  • Support catalog population sequencing and lineage validation approaches that demonstrate traceability and refresh cadence across systems/data products.

6) Delivery leadership and stakeholder management

  • Own workplan execution for the metadata/catalog workstream, including milestone management, RAID tracking, and stakeholder coordination; coach junior analysts on intake standards and catalog hygiene.

  • Prepare and deliver crisp status reporting and executive-ready readouts focused on outcomes (coverage, quality, adoption, time-to-discover, and backlog reduction).

What You Will Need:

  • US Citizenship required

  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST". Candidates with an ACTIVE SECRET CLEARANCE OR PUBLIC TRUST or suitability are preferred.

  • 8+ years of experience in data governance, metadata management, and/or enterprise data cataloging in complex environments (federal/regulated preferred).

  • Bachelor's degree obtained.

  • Ability to meet the project's client security and access requirements.

  • Demonstrated, hands-on experience delivering enterprise metadata baselines and operationalizing catalog workflows (intake, normalization, validation, publishing and stewardship sustainment).

  • Hands-on proficiency with one or more leading catalog/metadata platforms (e.g., Collibra, Alation, Microsoft Purview, Informatica Axon/EDC), including configuration of workflows / templates and support for integration/harvesting concepts.

  • Working knowledge of metadata standards and structuring approaches (e.g., ISO/IEC 11179, DCAT-US) and practical application of schema categories (technical, business, operational, security).

  • Demonstrated experience implementing or enabling semantic search / enhanced discovery in a catalog context (semantic tagging, glossary alignment, taxonomy/ontology, synonym management, and measurable relevance improvements).

  • Working proficiency with SQL and comfort with APIs/integration patterns sufficient to partner with engineering and interpret technical artifacts.

  • Delivery leadership experience in structured delivery (Agile preferred), including ownership of workstream plans, risks/issues, and stakeholder-ready documentation.

  • Tool certification/training (required): Vendor-provided certification or formal training credential in at least one enterprise data catalog product. Collibra / Alation / Purview / Informatica or comparable), with ability to demonstrate applied use in delivery.

  • Strong client-facing communication skills: ability to lead interviews/workshops, resolve definition disputes, and translate technical metadata into business-consumable forms.

What Would Be Nice to Have:

  • Led or co-led AoA / procurement support for catalog selection (criteria, weighting, demo scripts, evidence logs, scoring model, recommendation).

  • Bachelor's degree in Information Systems, Computer Science, Data/Information Management, Engineering, or a related field (or equivalent practical experience).

  • Experience implementing or tuning catalog search/discovery features (facets, ranking signals, curated collections, certified datasets, knowledge-graph relationships, usage analytics).

  • Familiarity with federated cataloging patterns and metadata exchange concepts (synchronization, reconciliation checks, refresh cadence, versioning/auditability).

  • Experience in regulated environments (healthcare preferred) and with metadata classification concepts related to PHI/PII/CUI and audit-oriented documentation.

  • Relevant credentials (e.g., DAMA/CDMP) or formal training in data governance, metadata management, taxonomy/ontology, or information architecture.

  • Experience building interim metadata workflows in SharePoint/PowerApps/Power Automate or similar low-code tools used for capture/validation.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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