Ontology Architect

Job Title: Data Architect with ontologyLocation: Tampa, FL (Remote)Job Description:We are looking for an experienced Data Architect / Data Engineer with strong expertise in Graph Databases and Knowledge Graphs, Onttology. The ideal candidate should have hands-on experience with Graph RAG patterns, ontologies (OWL), and semantic data modeling.In this role, you will design, build, and optimize scalable data architectures to enable efficient knowledge representation, discovery, and insights across complex, interconnected datasets.Key ResponsibilitiesDesign and develop graph-based data architectures and models using technologies like Neo4j, Amazon Neptune, or TigerGraphCollaborate with data scientists, engineers, and business teams to translate requirements into scalable solutionsBuild and manage ETL/ELT pipelines for graph data ingestion and transformationOptimize graph data storage, query performance, and scalabilityDevelop knowledge graphs by analyzing complex datasets and relationshipsEnsure integration with APIs, data platforms, and enterprise systemsImplement data governance, security, and best practicesProvide technical leadership, documentation, and architecture standardsStay updated with latest advancements in graph technologies and data architectureRequired SkillsStrong experience as a Data Architect / Data Engineer (Graph focus)Hands-on experience with Graph Databases (Neo4j, Amazon Neptune, TigerGraph)Proficiency in Graph Query Languages (Cypher, Gremlin, SPARQL)Experience in designing and implementing knowledge graphsStrong understanding of data modeling (Relational + NoSQL)Experience with ETL pipelines and data workflowsProgramming skills in Python / Java / ScalaFamiliarity with cloud platforms (AWS, Azure, or GCP)Knowledge of data governance, security, and metadata managementStrong problem-solving and communication skillsMust HaveExperience with .NET developmentHands-on Graph Database implementation experienceNice to HaveExperience with Power BI and DatabricksExposure to Azure DevOpsKnowledge of Semantic Web technologies (RDF, OWL, Linked Data)Experience with AI/ML use cases on graph data (Graph RAG)Background in Knowledge Management / OntologiesExperience with Docker / Kubernetes