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Metadata Curator Jobs (NOW HIRING)

Trace3

Atlan Implementation Project Manager

Irvine, CA · On-site

AI / Context Agents & Metadata Curation Configure Context Agent collections for automated metadata enrichment and tune output quality to an agreed acceptance standard. Publish the operating procedure ...

Xforia, Inc.

Data Steward

This role requires a deep understanding of: • Logical data modeling • Complex metadata management • Developing, managing, and aligning technical data requirements • Data curation • Data ...

Mithrl

Data Scientist, Knowledge Graphs

San Francisco, CA · On-site

$150K - $200K/yr

You will identify new node types, define relationship schemas, harmonize variable IDs, and ensure metadata remains consistent across all integrated sources. You will also build automated curation ...

Pfizer

Senior Associate, Metadata Engineering

Tampa, FL · On-site

$79K - $132K/yr

Experience in data governance, metadata engineering, and/or data modeling. * Strong workflow ... Practical knowledge of technical lineage harvesting and curation (e.g., Snowflake, Databricks UC ...

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Metadata Curator information

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$25.5K

$72.6K

$119.5K

How much do metadata curator jobs pay per year?

As of Sep 2, 2026, the average yearly pay for metadata curator in the United States is $72,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $94,000.00 per year, depending on experience, location, and employer.

What is a metadata curator?

Metadata Curators are professionals responsible for organizing, managing, and maintaining metadata, which is data that describes other data. They ensure that information about digital assets—such as documents, images, or datasets—is accurate, consistent, and easily searchable. Their work helps improve data discoverability, interoperability, and long-term access in libraries, archives, museums, and digital repositories. Metadata Curators often collaborate with data creators and users to establish and apply metadata standards. Their expertise is essential for effective data management and information retrieval.

What skills and qualifications are needed to be a metadata curator?

To thrive as a Metadata Curator, you need expertise in information science, data management, and taxonomy development, often supported by a degree in library science or a related field. Familiarity with metadata standards (like Dublin Core or MARC), cataloging software, and data repository systems is typically required. Attention to detail, analytical thinking, and strong organizational and communication skills help ensure accurate and consistent metadata creation. These skills are crucial for making data easily discoverable, interoperable, and usable across digital platforms.

What challenges do metadata curators face when standardizing data from multiple sources?

Metadata Curators often encounter the challenge of integrating and standardizing data from diverse sources, which may use varying formats, terminologies, or metadata schemas. Ensuring consistency, accuracy, and completeness across these datasets requires close attention to detail and a solid understanding of metadata standards. Collaborating with data providers and technical teams is crucial to resolve discrepancies and establish clear guidelines for metadata management. Adapting to evolving data standards and maintaining documentation are also key aspects of the role.

What is the difference between Metadata Curator vs Data Analyst?

AspectMetadata CuratorData Analyst
Required CredentialsBachelor's in Library Science, Information Management, or related fields; familiarity with metadata standardsBachelor's in Statistics, Data Science, or related fields; proficiency in data analysis tools
Work EnvironmentLibraries, archives, museums, digital repositoriesBusiness, finance, healthcare, tech companies
Employer & Industry UsageOrganizations managing digital assets and information resourcesOrganizations analyzing data to inform decisions
Common Search & Comparison IntentUnderstanding roles related to managing metadata and digital contentUnderstanding roles focused on analyzing and interpreting data

While both roles involve working with data, a Metadata Curator primarily manages and organizes metadata for digital assets, ensuring accurate description and discoverability. A Data Analyst interprets data sets to provide insights and support decision-making. The roles often overlap in data management but differ in focus and industry application.

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What cities are hiring for Metadata Curator jobs?

Cities with the most Metadata Curator job openings:

What states have the most Metadata Curator jobs?

States with the most job openings for Metadata Curator jobs include:

What job categories do people searching Metadata Curator jobs look for?

The top searched job categories for Metadata Curator jobs are:

Metadata Curator jobs near you
Infographic showing various Metadata Curator job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 2% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

Atlan Implementation Project Manager

Trace3

Irvine, CA • On-site

Contractor

Posted 28 days ago

Job description

*Please note, this is a contract position through Trace3.*

Role Summary

The customer is implementing Atlan as its enterprise data catalog and context layer, beginning with the Customer 360 domain. Core platform onboarding and several source connections are substantially complete. Atlan's contracted role is primarily advisory - the customer requires a partner-side leader who provides the delivery capacity and technical execution to move the implementation from connected platforms to a usable, governed, and adopted catalog.

The Atlan Implementation Project Leader / Manager is the single accountable owner for that execution. This is a hands-on delivery leadership role, not a pure coordination role: the successful candidate runs the integrated plan and RAID discipline while remaining close enough to the platform to unblock lineage, connector, and RBAC issues personally. They will complete the remaining Phase 1 scope, prepare and execute the rollout, and establish a repeatable operating model that can be reused for future domains including Finance, Sales, and Marketing.

Business Outcomes This Role Is Accountable For

 Trust: Establish Atlan as the trusted enterprise entry point for finding, understanding, and using governed data.
 Unified foundation: Create a unified metadata and governance foundation for the Customer 360 initiative.
 Efficiency: Reduce manual stewardship effort through Context Agents and repeatable enrichment workflows.
 Access: Enable business users to discover certified assets while retaining broader visibility for designated roles.
 Scalability: Create a repeatable implementation pattern that can be lifted into future domains.

Key Responsibilities

Program & Delivery Leadership

 Own and maintain a single integrated delivery plan covering all remaining milestones, dependencies, and critical path.
 Run the RAID log (risks, assumptions, issues, dependencies) as the authoritative program record and drive weekly planning and status cadence.
 Serve as the named delivery owner bridging Atlan's advisory engagement and the customer's in-tenant responsibilities - closing the execution gap rather than escalating it.
 Maintain a role matrix and escalation path to protect decision velocity when stakeholder availability is constrained.
 Provide clear, executive-ready status reporting to the customer's DMO and program sponsors.

Technical Implementation

 Direct and validate connector configuration across Snowflake, Salesforce, Domo, dbt, Microsoft SQL Server, and Oracle, with Okta for SSO.
 Lead end-to-end lineage validation for Customer 360, including mapping resolution, defect triage, and documented test cases - the current highest-risk milestone.
 Troubleshoot platform, ingestion, and metadata issues hands-on, engaging Atlan advisory support where appropriate.
 Coordinate the Monte Carlo integration for data quality visibility as an adjacent capability.

Governance & Access Configuration

 Complete RBAC and persona modeling, configuration, and testing; secure and evidence formal approval.
 Balance business-user discovery of certified assets against broader visibility requirements for designated roles.

AI / Context Agents & Metadata Curation

 Configure Context Agent collections for automated metadata enrichment and tune output quality to an agreed acceptance standard.
 Publish the operating procedure so enrichment becomes a repeatable, low-touch workflow rather than a manual effort.
 Drive certification of the P1 bookings asset set, including ownership assignment and glossary linkage.
 Close metadata coverage gaps and report coverage progress against target.

Rollout, Enablement & Adoption

 Build steward enablement materials and reusable guidance.
 Develop and deliver the rollout package: training, demos, and launch communications.
 Define the adoption measurement framework - KPIs and dashboards - and report against it.
 Execute operational handoff with a documented support model and forward roadmap recommendations.

Deliverables Owned by This Role

 Validated production-source inventory and connector configuration record.
 End-to-end lineage validation report and remediation log.
 Configured RBAC / persona model with approval evidence.
 Configured Context Agent collections and supporting operating procedure.
 Certified P1 bookings asset set with glossary links.
 Steward enablement materials and reusable guidance.
 Rollout package: training, demos, and launch communications.
 Adoption measurement framework (KPIs / dashboards).
 Closeout package: support model and roadmap recommendations.

Required Qualifications

 8+ years delivering enterprise data or analytics programs, with 4+ years leading implementations as the accountable delivery owner.
 Demonstrated experience implementing a modern data catalog or metadata management / governance platform - Atlan strongly preferred; Collibra, Alation, Informatica, or Microsoft Purview considered.
 Hands-on working knowledge of the customer's stack: Snowflake, Salesforce, dbt, Microsoft SQL Server, and Oracle; familiarity with Domo and Okta-based SSO.
 Proven ability to validate and remediate data lineage across heterogeneous sources, including mapping resolution and defect triage.
 Practical experience designing and configuring RBAC / persona-based access models and shepherding them through security approval.
 Strong data governance foundation: stewardship models, business glossary, asset certification, and metadata quality management.
 Disciplined program management practice - integrated planning, RAID management, dependency tracking, and executive status reporting.
 Excellent written and verbal communication; able to move between engineering detail and executive sponsor conversations in the same day.

Preferred Qualifications

 Direct delivery experience on Atlan, including Context Agents / AI-assisted metadata enrichment configuration and tuning.
 Experience with Monte Carlo or comparable data observability tooling.
 Prior Customer 360 / Customer Master domain implementation experience.
 Track record building repeatable implementation patterns scaled across multiple business domains.
 Adoption and change management experience: training design, enablement content, and usage measurement.
 Relevant certifications (PMP, Agile/Scrum, Snowflake, or platform-specific governance credentials).

Success Measures

 Lineage for Customer 360 validated end to end, with remediation items closed or explicitly accepted.
 RBAC / persona model configured, tested, and formally approved with documented evidence.
 Context Agents live and producing enrichment at an agreed quality threshold, with an operating procedure in place.
 P1 bookings asset set certified, owned, and glossary-linked.
 Metadata coverage targets met with reporting in place.
 Rollout executed and stewards enabled, with adoption KPIs trending against baseline.
 Repeatable operating model documented and ready for the next domain, with a clean operational handoff.

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