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Metadata Jobs in Decatur, GA (NOW HIRING)

AI and Fabric Engineer

Atlanta, GA ยท On-site

$110K - $130K/yr

Ontology / Semantic Modeling: business entities, relationships, hierarchies, taxonomy, * metadata, lineage, semantic layer, knowledge graphs, RDF/OWL/SPARQL or graph databases. * Engineering: Python ...

Content Data Specialist

Atlanta, GA ยท On-site

$15.27 - $16.97/hr

Experience with metadata, taxonomy, or content tagging * Exposure to e-commerce or product catalog environments * Basic understanding of HTML or web content formatting * Experience improving ...

GIS Manager

Atlanta, GA

$80K - $108K/yr

The agency geoportal will be enhanced to provide public access to data, metadata, and services (ArcGIS, KML, WMS, etc.). Additional extract, transform, and loading (ETL) functions will be developed ...

Data Modeler

Atlanta, GA ยท On-site

$52.75 - $68.25/hr

Updating and optimizing local and metadata models. * Evaluating implemented data systems for variances, discrepancies, and efficiency. * Troubleshooting and optimizing data systems. Skills: Data ...

Solution Architect - AI & Data

Atlanta, GA ยท On-site

$60.50 - $79.75/hr

Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business ...

Solution Architect - AI & Data

Atlanta, GA ยท On-site +1

$60.50 - $79.75/hr

Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business ...

Showing results 41-60

Metadata information

See Decatur, GA salary details

$8

$15

$28

How much do metadata jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for metadata in Decatur, GA is $15.36, according to ZipRecruiter salary data. Most workers in this role earn between $11.49 and $17.12 per hour, depending on experience, location, and employer.

What is the difference between Metadata vs Data Analyst?

AspectMetadataData Analyst
Required CredentialsKnowledge of data management, basic understanding of databasesBachelor's degree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness, finance, marketing teams
Employer & Industry UsageUsed across industries for data catalogingUsed in analytics, reporting, decision-making
Common Search & ComparisonUnderstanding data structureAnalyzing data for insights

Metadata involves managing data about data, such as descriptions and structure, while a Data Analyst interprets data to provide insights. Both roles are essential in data management but serve different functions within organizations.

What is a metadata specialist?

Metadata specialists are professionals responsible for creating, managing, and maintaining metadata, which is data that describes and provides information about other data. They work to ensure that digital assets, documents, or datasets are accurately categorized, searchable, and retrievable by assigning standardized descriptions and tags. Metadata specialists often work in libraries, archives, museums, or organizations with large digital collections, and play a key role in data governance and information management.

What are the key skills and qualifications needed to thrive as a metadata specialist?

To thrive as a Metadata Specialist, you need strong organizational skills, attention to detail, and knowledge of metadata standards and cataloging principles, often supported by a degree in library science, information science, or a related field. Familiarity with cataloging tools, metadata management systems, and standards like Dublin Core or MARC is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills ensure accurate data organization and retrieval, which are critical for maintaining data integrity and supporting information discovery.

What can you do with metadata?

A metadata specialist or professional manages and analyzes metadata to organize, categorize, and improve data retrieval and understanding. They use tools like metadata standards and schemas to ensure data consistency and may work with databases, digital assets, or information systems to enhance data accessibility and quality.

What are some typical challenges faced by metadata specialists when managing large datasets, and how can they be addressed?

Metadata specialists often encounter challenges such as inconsistent data standards, incomplete metadata entries, and integrating metadata from multiple sources. These issues can make it difficult to ensure data discoverability and usability. Addressing them typically involves establishing clear metadata standards, using automated tools for validation, and collaborating closely with data owners and IT teams to maintain consistency. Regular training and documentation updates also help in keeping metadata practices aligned across the organization.
What are the most commonly searched types of Metadata jobs in Decatur, GA? The most popular types of Metadata jobs in Decatur, GA are:
What are popular job titles related to Metadata jobs in Decatur, GA? For Metadata jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Metadata jobs in Decatur, GA look for? The top searched job categories for Metadata jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Metadata jobs? Cities near Decatur, GA with the most Metadata job openings:
Infographic showing various Metadata job openings in Decatur, GA as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 3% Temporary, and 8% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $31,957 per year, or $15.4 per hour.

AI and Fabric Engineer

Tata Consultancy Service Limited

Atlanta, GA โ€ข On-site

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Must Have Technical/Functional Skills
  • Agentic AI: AI agents, planning, reasoning, memory, tool/function calling, multi-agent orchestration,
  • guardrails, and agent evaluation.
  • Frameworks: LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent agent
  • orchestration frameworks.
  • LLM / GenAI: Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search,
  • prompt engineering, grounding, and hallucination mitigation.
  • Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory, Dataflows, Notebooks,
  • Power BI semantic models, Direct Lake, Delta Lake, and medallion architecture.
  • Ontology / Semantic Modeling: business entities, relationships, hierarchies, taxonomy,
  • metadata, lineage, semantic layer, knowledge graphs, RDF/OWL/SPARQL or graph databases.
  • Engineering: Python, SQL, Spark/PySpark, REST APIs, CI/CD, Git, monitoring, logging,
  • cloud security, and production support.
  • Functional: ability to translate business processes into ontology models, semantic
  • data products, and agent workflows

Roles & Responsibilities
  • Design and implement enterprise-grade agentic AI solutions that retrieve information,
  • call tools/APIs, reason over data, and automate workflows.
  • Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse, semantic models,
  • APIs, enterprise systems, and document repositories.
  • Build and optimize RAG pipelines using embeddings, vector/semantic search, structured
  • data grounding, and evaluation datasets.
  • Design ontology-driven semantic models covering entities, relationships, metadata,
  • business rules, lineage, and governance.
  • Develop Fabric data pipelines using Data Factory, Notebooks, Spark/PySpark, SQL,
  • Delta Lake, and medallion architecture.
  • Implement AI guardrails, access control, logging, monitoring, cost optimization, and
  • responsible AI practices.
  • Create technical designs, architecture diagrams, reusable components, coding standards etc.

TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-KR3
Salary Range-$110,000-$130,000 a year