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Metadata Library Jobs in Georgia (NOW HIRING)

Media Asset Manager

Atlanta, GA

$116K - $121K/yr

... and metadata procedures for all content across LTO tapes, external hard drives, cloud storage, and the off-site Iron Mountain library * Troubleshoot content retrieval, archival, and system ...

Media Asset Manager

Atlanta, GA · On-site

$116K - $121K/yr

... and metadata procedures for all content across LTO tapes, external hard drives, cloud storage, and the off-site Iron Mountain library * Troubleshoot content retrieval, archival, and system ...

... and metadata standards* Implement and train machine learning models using Python and modern ... Solid Python skills with hands-on experience using core libraries: + Machine learning: PyTorch ...

$185K - $227K/yr

... metadata - giving our support engineers (and customers) the context they need to resolve issues ... Library/SDK development mindset - You've built software that other developers consume as a ...

... and metadata standards * Implement and train machine learning models using Python and modern ... Solid Python skills with hands-on experience using core libraries: * Machine learning: PyTorch ...

$103K - $147K/yr

Ensure compliance with IC data governance, security, and metadata standards across all data systems ... focused libraries such as Pandas, Scikit, TensorFlow and Gensim * Clearance: Must possess and ...

Media Asset Manager

Atlanta, GA · On-site

$116K - $121K/yr

... and metadata procedures for all content across LTO tapes, external hard drives, cloud storage, and the off-site Iron Mountain library * Troubleshoot content retrieval, archival, and system ...

Implement MCP server and client libraries that connect enterprise systems (Atlassian, Microsoft 365 ... Design and implement document ingestion pipelines: chunking, embedding generation, metadata ...

Build the MCP Integration Layer • Implement MCP server and client libraries that connect ... embedding generation, metadata enrichment, and upsert into vector stores • Build retrieval ...

Build the MCP Integration Layer • Implement MCP server and client libraries that connect ... embedding generation, metadata enrichment, and upsert into vector stores • Build retrieval ...

Showing results 21-40

Metadata Library information

What is a metadata librarian?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What skills and qualifications are needed to thrive as a metadata librarian?

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.

What are common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are popular job titles related to Metadata Library jobs in Georgia?

For Metadata Library jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Metadata Library jobs?

Cities in Georgia with the most Metadata Library job openings:

Infographic showing various Metadata Library job openings in Georgia as of August 2026, with employment types broken down into 1% Internship, 76% Full Time, 12% Part Time, 1% Temporary, 7% Contract, and 3% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Lead BI Engineer (Contract-to-Hire)

Alpharetta, GA

SOLTECH
IT Services • 51 - 200 employees

$100K - $131K/yr

Full-time, Contractor

Re-posted 26 days ago


Job description

Job Description Our client is seeking an experienced Lead Business Intelligence (BI) Engineer to join their Data & Analytics team in a full-time capacity. This role combines two key responsibilities: Primary: Own the ongoing maintenance and optimization of enterprise Power BI semantic models, including TMDL/Model.bim, DAX development, relationships, row-level security (RLS), and workspace governance. Secondary: Contribute to the continued development of a Snowflake data warehouse by extending GOLD-layer dimensional models (facts and dimensions) that support enterprise analytics and reporting initiatives

This is an AI-first engineering role where modern AI-assisted development practices are central to the team's workflow. The successful candidate will use Claude Code as the primary development environment, leveraging an established multi-repository framework that includes project-specific context, reusable development skills, AI-assisted code orchestration, and integrated tools for Snowflake, SQL Server, and Jira. Candidates should be comfortable working within AI-assisted development environments and taking full ownership of the quality, accuracy, and maintainability of AI-generated solutions.

Key Responsibilities Power BI Semantic Model Ownership Maintain and enhance enterprise Power BI semantic models using TMDL/Model.bim and Tabular Editor. Develop and optimize DAX measures, calculated columns, Power Query (M) transformations, and semantic model performance. Design, implement, and manage Row-Level Security (RLS)

Administer Power BI workspaces, including governance, permissions, lifecycle management, and naming standards. Ensure semantic models remain aligned with upstream Snowflake GOLD-layer changes. Provide guidance, documentation, troubleshooting, and support to report developers and business users.

Optimize semantic models for Power BI Copilot, including metadata, naming conventions, relationships, descriptions, synonyms, and Q&A capabilities to improve natural language interactions. Snowflake Data Warehouse Development Extend and maintain GOLD-layer dimensional models, including fact and dimension tables, to support evolving business requirements. Apply Kimball dimensional modeling best practices throughout the analytics ecosystem.

Collaborate closely with the data engineering team to implement well-defined warehouse enhancements. Validate end-to-end data quality from Snowflake through semantic models and downstream reporting solutions. AI-Assisted Development Utilize Claude Code as the primary development environment for Power BI, DAX, semantic modeling, and Snowflake development.

Leverage existing AI workflows, reusable skills, validation scripts, and multi-repository orchestration to improve development efficiency. Expand and maintain the team's reusable AI skill library and development standards as best practices evolve. Utilize integrated tools for Snowflake, SQL Server, and Jira within the AI development environment.

Review, validate, and take full ownership of AI-assisted code before deployment. Collaborate with cross-functional teams on multi-repository changes and technical impact assessments. Mentor team members on Business Intelligence best practices as well as AI-assisted development workflows.

Required Qualifications 7+ years of Business Intelligence experience. 3+ years of hands-on experience developing and maintaining Power BI semantic models. Advanced expertise with: Power BI DAX Power Query (M) TMDL/Model.bim Tabular Editor Strong SQL development skills

Experience designing and maintaining dimensional data models within a cloud data warehouse, preferably Snowflake. Deep understanding of Kimball dimensional modeling methodologies. Hands-on experience using Claude Code or comparable AI-powered coding platforms (such as Codex CLI or GitHub Copilot CLI) in daily software development workflows.

Ability to evaluate, explain, and take ownership of AI-assisted development output. Experience implementing Row-Level Security (RLS) and administering Power BI workspaces. Experience preparing semantic models for Power BI Copilot through optimized metadata, relationships, and natural language capabilities.

Experience collaborating with data engineering teams on enterprise data warehouse development. Preferred Qualifications Experience building or extending AI development tooling, including reusable skills, MCP servers, or AI agent configurations. Experience with GitHub Actions, CI/CD pipelines, and GitHub-based code review processes.

Exposure to SSRS or migrations from legacy SSAS environments. Experience with Azure Data Factory or comparable ELT/orchestration platforms. Background supporting financial services, nonprofit, foundation, or philanthropic organizations.

Desired Skills & Attributes Strong analytical and problem-solving abilities. Demonstrated commitment to validating and testing AI-assisted work before deployment. Comfortable working in rapidly evolving technical environments and continuously improving engineering practices.

Passion for documenting standards, reusable workflows, and development best practices. Self-motivated with excellent judgment and decision-making skills. Strong written and verbal communication skills with both technical and non-technical stakeholders.

Collaborative mindset with experience mentoring teammates and promoting engineering excellence. About SOLTECH SOLTECH is a leading national technology company based in Atlanta, driven by a steadfast commitment to integrity, strong company values, and customer centricity. For nearly 30 years, we've been part of the thriving technology community and have earned honors such as The Atlanta Journal-Constitution's Top Workplace and Best & Brightest Companies To Work For In The Nation.

Our exceptional team of engineers, designers, and strategists delivers custom software applications, technology consulting, AI and data engineering solutions, and IT staffing services that help organizations solve complex challenges nationwide. Join us on our quest to make the world a better place by bringing to life innovative software solutions that make our lives easier, safer, healthier, and more productive. If you're an IT professional seeking your next career opportunity, we'd love to match your expertise with a role where you can thrive.

Learn more at https://soltech.net/working-for-soltech/. SOLTECH believes in the dignity of every individual and practices equal employment opportunity as a core principle. We consider all applicants without regard to race, color, age, sex, sexual orientation, gender identity, religion, marital status, national origin, disability, or veteran status.