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Metadata Curator Jobs in Georgia (NOW HIRING)

Agilent

$171K - $321K/yr

This leader deploys agents that generate metadata, resolve entities across domains, score quality ... The instinct to automate curation with AI rather than scale it with headcount. Additional Details ...

TriOptus LLC

Analytics Engineer

Atlanta, GA · On-site

Data Modeling & Curation • Collaborate with the Domain Owners to design dimensional and real-time ... and metadata management. Data Modeling: • Dimensional modeling • Real-time data modeling ...

Apex Informatics

DECAL Analytics Engineer

Atlanta, GA · On-site

Data Modeling & Curation • Collaborate with the Domain Owners to design dimensional and real-time ... and metadata management. Data Modeling: • Dimensional modeling • Real-time data modeling ...

Askari Defense

Robotics Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... and curating datasets so they are ready for ML pipelines. • Complex Data Analysis: Take on ... Experience with cloud storage and its access patterns, including GCS buckets, object metadata, IAM ...

All JobsMetadata Curator JobsMetadata Curator Jobs in Georgia

Metadata Curator information

See Georgia salary details

$21.5K

$61.3K

$100.9K

How much do metadata curator jobs pay per year?

As of Aug 6, 2026, the average yearly pay for metadata curator in Georgia is $61,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,200.00 and $79,400.00 per year, depending on experience, location, and employer.

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 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 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.

What are popular job titles related to Metadata Curator jobs in Georgia? For Metadata Curator jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Metadata Curator jobs in Georgia look for? The top searched job categories for Metadata Curator jobs in Georgia are:
What cities in Georgia are hiring for Metadata Curator jobs? Cities in Georgia with the most Metadata Curator job openings:
Metadata Curator jobs near you
Infographic showing various Metadata Curator job openings in Georgia as of July 2026, with employment types broken down into 69% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $61,325 per year, or $29.5 per hour.

Head of Data Engineering, AI CoE

Agilent

On-site

$171K - $321K/yr

Full-time

Posted 8 days ago

Agilent Technologies rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

87th of 536 rated manufacturers

Job description

Job Description

Owns the Fabric data plane: the certified data and semantics every agent and BI use case depends on. The Agilent Intelligence Fabric is a single governed substrate serving both BI and agentic AI; one substrate, two consumption modes. This role makes the data side of that promise real, meaning every certified data product carries a semantic definition, a data contract, policy and entitlement metadata including agent identity, lineage and observability, and a certification tier.

The roleoperateson a core conviction of the program: AI is the primary builder of the Fabric, not merely its consumer. This leader deploys agents that generate metadata, resolve entities across domains, score quality, and classify unstructured content, so the data plane compounds in richness with every interaction rather than depending on manual annotation at enterprise scale.

Responsible for

  • Certified, versioned data products and semantic models, built in partnership with domain owners and stewards, with certification tiers that agents and BI consumers can both trust.

  • The Asset Registry, lineage, and data-quality signals; the registry is the discoverable, versioned home for data products and semantic definitions.

  • Lakehouse, vector, and graph retrieval foundations underpinning grounded agent behavior.

  • Agentic workloads that build the Fabric itself: metadata generation, entity resolution, quality scoring, and unstructured content classification.

  • Solid-line management of AI Data Engineers deployed into pods.

  • Leads a team responsible for designing, developing, and implementing modular data models, data pipelines, and data management frameworks that enable the capture, integration, storage, and utilization of structured and unstructured data from multiple sources.

  • Applies in-depth understanding of business and technical requirements to define data engineering priorities, direct the development of scalable data solutions, and establish standards and processes that ensure data reliability, efficiency, quality, compatibility, and accessibility.

  • Provides technical and organizational leadership in the development of data platforms and tools that support analytics, data science, predictive and prescriptive modeling, and automation initiatives, while overseeing project execution, cross-functional collaboration, talent development, and continuous improvement of data engineering capabilities to meet evolving business and product requirements.

Qualifications

  • Bachelor's or Master'sDegree or equivalent.Plus, broad knowledge of functional area(s) of responsibility.

  • Minimum of 10 years' experience formally or informally leading people,projectsand/or programs.

  • A track recordbuilding enterprise data platforms that serve production AI systems, not only analytics; experience with semantic layers, ontologies, or knowledge representation at scale.

  • Deep familiarity with the modernlakehouse, vector, and graph landscape; experience with Microsoft Fabric, Snowflake, or equivalent platforms in a multi-cloud estate.

  • Experience operating data contracts, lineage, and certification models in a regulated or quality-driven industry; life sciences orGxPexposure is a strong plus.

  • Curiosity about AI, its potential and its pitfalls.The field moves monthly, and the people who thrive here are genuinely curious about both sides of it: what these systems can newly do, and where they fail, mislead, or quietly degrade. We want people who readthe failureanalyses as eagerly as the launch posts, who experiment on their own initiative, and who hold excitement and skepticism at the same time without letting either one win permanently.

  • Lifelong learners.Whateverexpertisea candidate arrives with will be partially obsolete within a year, and that is not a defect of the candidate; it is the condition of the field. We hire people who have reinvented their toolkit before and expect to do it again, who learn in public, and who treat being wrong as information rather than injury. A history of deliberate self-reinvention counts for more than any single credential.

  • Excellent communication and the ability to influence.Nothing in this organization ships by authority alone. Every role herepersuadesdomain experts to engage, stewards to share what they know, sponsors to stay honest about value, and functions like Legal, Quality, and Security to move from gatekeeping to partnership. We look for people who write and speak clearly, who adapt their register from bench scientist to Board, and who change minds through credibility and clarity rather than escalation.

  • The instinct to automate curation with AI rather than scale it with headcount.

Additional Details

This job has a full time weekly schedule. Applications for this job will be accepted until at least August 3, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $171,600.00 - $321,750.00/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 job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: 10% of the TimeShift: DayDuration: No End DateJob Function: Administration

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