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Microsoft Fabric Ontology Engineer

Veracity

Chicago, IL

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Borland ObjectWindows Library (OWL) Programming Libraries, Cataloguing, Computer Science, Data Warehousing, Documentation, Finance, HL7 (Health Level 7), Healthcare, Industry Standards, Information Science, Information/Data Security (InfoSec), JSON, Knowledge Engineering, Master Data Management (MDM), Metadata, Microsoft Certifications, Microsoft Product Family, Microsoft Windows Azure, Neo4j, Ontology, Power BI, Programming Tools, Python Programming/Scripting Language, RDF (Resource Description Framework), REST (Representational State Transfer), Retail, SPARQL, Supply Chain, Taxonomies, Warehousing, Web Programming
LOCATION
Chicago, IL
POSTED
Today
Microsoft Fabric Ontology Engineer
Location: Chicago, IL
Contract

Looking for 13+ year exp.

Requirements
Key Responsibilities
  • Design and maintain enterprise ontologies and knowledge graphs aligned to business domains (finance, HR, supply chain, etc.) within Microsoft Fabric
  • Build and manage semantic models in Power BI using ontology-driven design principles, including entity hierarchies, relationships, and synonym mappings
  • Define and enforce data definitions, business glossaries, and metadata standards across the Fabric lakehouse and warehouse layers
  • Collaborate with data engineers to map ontological concepts to OneLake, Fabric Lakehouses, and Delta Lake tables
  • Integrate ontologies with Microsoft Purview for data cataloguing, lineage tracking, and governance
  • Develop domain-specific ontologies using standards such as OWL, RDFS, and SKOS, and expose them through Fabric APIs or semantic endpoints
  • Enable natural language Q&A and Copilot experiences in Power BI by enriching semantic models with ontological metadata
  • Work with AI/ML teams to provide structured ontological features for Azure OpenAI and Fabric's AI workloads
  • Establish best practices and documentation for ontology lifecycle management - versioning, deprecation, and change governance
  • Collaborate with business stakeholders to capture and formalise domain knowledge into machine-readable models


Required Skills & Experience
Microsoft Fabric & Power BI
  • Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Notebooks, Semantic Models)
  • Strong proficiency in Power BI semantic modelling - DAX, relationships, hierarchies, calculation groups
  • Experience with OneLake and Delta Lake table formats
  • Familiarity with Microsoft Purview for data cataloguing and lineage
Ontology & Knowledge Engineering
  • Proficiency in ontology languages: OWL (Web Ontology Language), RDFS, SKOS
  • Experience with ontology development tools such as Protégé, TopBraid Composer, or similar
  • Understanding of RDF (Resource Description Framework) and SPARQL for querying knowledge graphs
  • Ability to design taxonomies, thesauri, and controlled vocabularies
  • Knowledge of linked data principles and URI-based entity identification
Data & Analytics Engineering
  • Strong SQL skills across T-SQL and Spark SQL
  • Experience with Python or PySpark for data transformation and ontology integration pipelines
  • Familiarity with REST APIs and JSON-LD for publishing and consuming semantic data
  • Understanding of medallion architecture (Bronze / Silver / Gold) within a lakehouse context
AI & Semantic Technologies
  • Awareness of how ontologies enhance LLM-based applications (RAG pipelines, grounding, entity disambiguation)
  • Experience or interest in integrating ontologies with Azure OpenAI Service or Microsoft Copilot Studio
  • Familiarity with knowledge graph platforms (e.g. Azure Cosmos DB, Neo4j, or AWS Neptune) is a plus


Preferred Qualifications
  • Experience with industry-standard ontologies such as FIBO (finance), HL7 FHIR (healthcare), GS1 (retail), or PROV-O (provenance)
  • Background in enterprise data governance or MDM (Master Data Management)
  • Microsoft certifications: DP-600 (Fabric Analytics Engineer), PL-300 (Power BI), or SC-400 (Information Protection)
  • Degree in Computer Science, Information Science, Knowledge Engineering, or a related field

About the Company

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