Data Architect with ontology

Job Title: Data Architect with fabric and Graph database experience and ontology

Location: 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 Responsibilities

Design and develop graph-based data architectures and models using technologies like Neo4j, Amazon Neptune, or TigerGraph

Collaborate with data scientists, engineers, and business teams to translate requirements into scalable solutions

Build and manage ETL/ELT pipelines for graph data ingestion and transformation

Optimize graph data storage, query performance, and scalability

Develop knowledge graphs by analyzing complex datasets and relationships

Ensure integration with APIs, data platforms, and enterprise systems

Implement data governance, security, and best practices

Provide technical leadership, documentation, and architecture standards

Stay updated with latest advancements in graph technologies and data architecture

Required Skills

Strong 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 graphs

Strong understanding of data modeling (Relational + NoSQL)

Experience with ETL pipelines and data workflows

Programming skills in Python / Java / Scala

Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)

Knowledge of data governance, security, and metadata management

Strong problem-solving and communication skills

Must Have

Experience with .NET development

Hands-on Graph Database implementation experience

Nice to Have

Experience with Power BI and Databricks

Exposure to Azure DevOps

Knowledge of Semantic Web technologies (RDF, OWL, Linked Data)

Experience with AI/ML use cases on graph data (Graph RAG)

Background in Knowledge Management / Ontologies

Experience with Docker / Kubernetes