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Metadata Library Jobs in Loganville, GA (NOW HIRING)

Aprio

Business Intelligence Architect

Atlanta, GA · On-site

$120 - $190/hr

Design semantic models and data products with AI‑readiness in mind--ensuring metadata quality ... Create internal documentation, standards guides, and reusable component libraries for the team

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Metadata Library information

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How much do metadata library jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for metadata library in Loganville, GA is $17.85, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $20.19 per hour, depending on experience, location, and employer.

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 Loganville, GA?

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

What cities near Loganville, GA are hiring for Metadata Library jobs?

Cities near Loganville, GA with the most Metadata Library job openings:

Metadata Library jobs near you

Business Intelligence Architect

Aprio

Atlanta, GA • On-site

$120 - $190/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 7 hours ago

Aprio rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

2nd of 23 rated bookkeepers and accountants

Job description

Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio.

Join Aprio's Information Technology team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a Business Intelligence Architect to join their dynamic team.

Aprio’s Insights & Analytics team is expanding its Microsoft Fabric platform capabilities and is seeking a skilled Power BI & Fabric Semantic Model Architect to lead the design, development, and governance of enterprise‑grade semantic models. This role bridges the gap between raw data and business insight—translating complex stakeholder requirements into well‑structured, performant data models that power decision‑making across the firm.

The ideal candidate is both technically deep and interpersonally strong—someone who can lead and coach a team of report developers, facilitate requirements sessions with business stakeholders, and architect scalable solutions within Microsoft Fabric and Power BI. As Aprio accelerates its AI strategy, this role will play a central part in enabling natural language query (NLQ) capabilities, AI‑powered analytics, and Copilot integration across the firm’s reporting ecosystem.

Responsibilities: Semantic Modeling & Architecture
  • Design and build enterprise semantic models in Microsoft Fabric using Direct Lake mode, Power BI Datasets, and Dataflows Gen2
  • Develop well‑structured star and snowflake schemas optimized for Power BI performance, NLQ discoverability, and Copilot compatibility
  • Author complex DAX measures, calculated columns, and KPI logic following organizational standards; ensure measure naming and descriptions support AI‑assisted querying
  • Establish and maintain a governed, reusable semantic layer across reporting domains (finance, operations, marketing, HR, growth)
  • Evaluate and implement incremental refresh, aggregations, and query reduction strategies
  • Architect semantic models to support natural language query (Q&A, Power BI Copilot, Azure OpenAI integration) by enforcing descriptive field names, synonyms, and measure annotations
  • Define and maintain Q&A synonyms, linguistic schemas, and field‑level descriptions that enable accurate AI‑driven query interpretation
AI, Natural Language Query & Copilot Enablement
  • Lead Aprio’s adoption of Power BI Copilot and Microsoft Fabric AI features, including AI‑generated report summaries, smart narratives, and anomaly detection
  • Design semantic models and data products with AI‑readiness in mind—ensuring metadata quality, field descriptions, and schema consistency support large language model (LLM) integrations
  • Collaborate with IT and data engineering to evaluate and implement natural language query interfaces, including Power BI Q&A, Copilot for Microsoft 365, and Azure OpenAI Service connections to Fabric data
  • Develop prompting strategies and governance guardrails for AI‑generated insights to ensure accuracy, auditability, and alignment with firm standards
  • Evaluate emerging Microsoft AI capabilities (Fabric Workload Hub, Copilot Studio, OneLake AI catalog) and provide architectural recommendations for phased adoption
  • Partner with business stakeholders to identify high‑value use cases for AI‑assisted analytics, self‑service insights, and conversational BI
  • Educate and upskill team members and business users on responsible use of AI tools within the BI ecosystem
Team Coaching & Development
  • Mentor and coach a team of 4+ report developers, providing technical guidance on best practices, model design, DAX, and AI‑era BI patterns
  • Conduct code and model reviews, establishing a culture of quality and continuous improvement
  • Create internal documentation, standards guides, and reusable component libraries for the team
  • Support onboarding of new team members and facilitate skill development in Power BI, Fabric, and emerging AI analytics tools
Business & Stakeholder Engagement
  • Lead requirements‑gathering sessions with business stakeholders, translating needs into data model specifications and AI‑assisted analytics roadmaps
  • Serve as a trusted advisor, clearly communicating model design decisions, tradeoffs, and AI capability opportunities to executive and non‑technical audiences
  • Collaborate with data engineers, DevOps, and business analysts to ensure analytical models support downstream use cases including Copilot and self‑service BI
  • Champion data literacy and responsible AI use across the organization in collaboration with the data governance manager and data governance committee
Fabric Platform & Governance
  • Own the semantic model layer within the Aprio Microsoft Fabric Lakehouse architecture (OneLake, Lakehouse, Notebooks)
  • Define and enforce naming conventions, model governance standards, certification processes, and AI metadata standards for published datasets
  • Coordinate with the data engineering team to ensure clean, well‑documented source data is available for modeling and AI consumption
  • Monitor model health, performance, and usage via Power BI Admin portal and Fabric Monitoring Hub
  • Ensure compliance with data security, row‑level security (RLS), and data privacy requirements across all published models and AI‑accessible data products
  • Establish AI governance practices including prompt auditability, output validation standards, and acceptable use policies for AI‑generated content within BI workflows
Qualifications:
  • 5–8 years of experience designing and publishing Power BI semantic models in enterprise environments
  • Proficiency in DAX, Power Query (M), and data modeling concepts (star schema, relationships, cardinality)
  • Hands‑on experience with Microsoft Fabric (OneLake, Lakehouses, Dataflows Gen2, Direct Lake mode)
  • Demonstrated experience with Power BI Q&A, linguistic schema authoring, and synonym configuration for natural language query
  • Familiarity with Power BI Copilot, Microsoft 365 Copilot, or Azure OpenAI Service integrations with Fabric data sources
  • Demonstrated ability to gather, document, and translate business requirements into data models and AI‑readiness roadmaps
  • Experience coaching or mentoring junior analysts or developers
  • Strong communication skills with the ability to explain technical concepts—including AI capabilities and limitations—to non‑technical audiences
  • Familiarity with data governance, RLS, dataset certification, and Power BI deployment pipelines
  • Understanding of responsible AI principles, data privacy considerations, and AI output auditability in enterprise analytics contexts
Preferred Qualifications:
  • Microsoft certifications: PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), or DP-100 (Azure Data Scientist)
  • Experience with Azure OpenAI Service, Semantic Kernel, or LangChain in analytics or data product contexts
  • Exposure to Copilot Studio or Power Automate AI flows for automating insight delivery
  • Experience in a professional services or accounting firm environment
  • Familiarity with Microsoft Purview for data cataloging, lineage, and AI governance
Core Competencies:
  • Data Modeling Proficiency
  • Performance Optimization
  • AI & NLQ Enablement
  • Translating to Tech and Non-Tech
  • Analytical Thinking
  • Coaching & Mentorship
  • Attention to Detail
  • Internal/External Team Collaboration
  • Strong Communication
  • Continuous Learning Mindset
  • Business Acumen
  • Responsible AI Judgment
Why work for Aprio:

Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future‑focused, innovative firm.

Perks/Benefits we offer for full‑time team members:
  • Medical, Dental, and Vision Insurance on the first day of employment
  • Flexible Spending Account and Dependent Care Account
  • 401k with Profit Sharing
  • 9+ holidays and discretionary time off structure
  • Parental Leave – coverage for both primary and secondary caregivers
  • Tuition Assistance Program and CPA support program with cash incentive upon completion
  • Dis
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