Data Architect with ontology

Data Architect with ontology

Posted 5 days ago by Flexon Technologies Inc.

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Negotiable
Undetermined
Remote
Remote
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.NET Framework Amazon Neptune Application Programming Interface (API) Cloud Computing Cloud Technology Data Governance Data Ingestion Data Modeling Data Store Docker (Software) Extract Transform Load (ETL) Google Cloud Google Cloud Platform (GCP) Graph Database Gremlin Java (Programming Language) Knowledge Management Management Metadata Microsoft Azure Neo4j NoSQL Ontologies Power BI Python (Programming Language) Query Languages Query Performance Semantic Web SPARQL Protocol And RDF Query Language (SPARQL)

Summary: The role of Data Architect requires an experienced professional with expertise in Graph Databases, Knowledge Graphs, and Ontology. The candidate will design and optimize scalable data architectures to facilitate knowledge representation and insights from complex datasets. This position emphasizes collaboration with data teams and the implementation of best practices in data governance and security. The role is remote, allowing flexibility in work arrangements.

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

Key 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

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

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

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