Flexon Technologies Inc.
Data Architect with Ontology
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with Ontology, offering a remote contract in Tampa, FL. The position requires strong expertise in Graph Databases, knowledge graphs, and ETL processes. Proficiency in Python, Java, and .NET is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tampa, FL
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Engineering #Programming #"ETL (Extract #Transform #Load)" #Graph Databases #Python #Data Architecture #Data Ingestion #Databricks #Java #Data Modeling #Amazon Neptune #Docker #Data Governance #Azure DevOps #Kubernetes #Storage #BI (Business Intelligence) #HBase #AWS (Amazon Web Services) #Data Management #Metadata #DevOps #TigerGraph #Data Storage #Microsoft Power BI #Datasets #ML (Machine Learning) #RDF (Resource Description Framework) #Scala #Databases #.Net #Knowledge Graph #Azure #Cloud #Data Science #Neo4J #GCP (Google Cloud Platform) #Security #NoSQL #Documentation #Leadership
Role description
Job Title: Data Architect with 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 GCP)
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
Job Title: Data Architect with 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 GCP)
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
