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Data Architect with Fabric, Graph & Ontology
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with expertise in Microsoft Fabric, Graph Databases (Neo4j, TigerGraph, Neptune), Ontology, and RAG. Contract length is unspecified, with a competitive pay rate. Remote work is available. Key skills include SQL, cloud platforms, and data modeling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Python #Data Analysis #Graph Databases #AWS (Amazon Web Services) #ML (Machine Learning) #Data Governance #Data Science #Data Management #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #Data Engineering #SQL (Structured Query Language) #Data Architecture #Semantic Knowledge Graphs #Metadata #Data Modeling #Databases #Amazon Neptune #BI (Business Intelligence) #Knowledge Graph #Data Quality #Neo4J #Spark (Apache Spark) #TigerGraph #AI (Artificial Intelligence) #Azure #GCP (Google Cloud Platform) #Data Integration
Role description
Required Skills: Microsoft Fabric, Graph Databases, Neo4j, TigerGraph, Neptune, Ontology, OWL, Knowledge Graphs, RAG, Data Architecture, SQL, Cloud Platforms, Data Modeling
Job Description
We are seeking an experienced Data Architect with strong expertise in Microsoft Fabric, Graph Databases, Ontology Modeling, and RAG-based AI solutions. The ideal candidate will design and implement enterprise-scale data architectures, semantic knowledge graphs, and ontology-driven data models to support advanced analytics, AI, and business intelligence initiatives.
Required Skills
• Strong experience as a Data Architect, Data Engineer, Data Analyst, or Data Scientist
• Hands-on experience with Microsoft Fabric
• Expertise in Graph Databases such as Neo4j, TigerGraph, or Amazon Neptune
• Strong knowledge of Ontologies, OWL (Web Ontology Language), Semantic Web technologies
• Experience building Knowledge Graphs and semantic data models
• Experience with RAG (Retrieval-Augmented Generation) architectures and GenAI solutions
• Strong SQL and data modeling skills
• Experience with data integration, ETL/ELT, and enterprise data platforms
• Knowledge of cloud platforms such as Azure, AWS, or GCP
• Experience with Python, Spark, or other data engineering technologies
Responsibilities
• Design and implement enterprise data architecture using Microsoft Fabric.
• Develop and maintain ontology-based semantic data models.
• Build and optimize knowledge graph solutions using Neo4j, TigerGraph, or Neptune.
• Design and implement RAG frameworks for AI and GenAI applications.
• Collaborate with business and technical stakeholders to define data strategies.
• Integrate structured and unstructured data sources into unified data platforms.
• Establish data governance, metadata management, and data quality standards.
• Support advanced analytics, machine learning, and AI initiatives.
• Optimize graph queries, data pipelines, and platform performance.
• Provide architectural guidance and best practices across data engineering teams.
Must Have Skills
Microsoft Fabric, Graph Databases (Neo4j/TigerGraph/Neptune), Ontology/OWL, Knowledge Graphs, RAG, Data Architecture, SQL, Cloud Platforms, Data Modeling.
Required Skills: Microsoft Fabric, Graph Databases, Neo4j, TigerGraph, Neptune, Ontology, OWL, Knowledge Graphs, RAG, Data Architecture, SQL, Cloud Platforms, Data Modeling
Job Description
We are seeking an experienced Data Architect with strong expertise in Microsoft Fabric, Graph Databases, Ontology Modeling, and RAG-based AI solutions. The ideal candidate will design and implement enterprise-scale data architectures, semantic knowledge graphs, and ontology-driven data models to support advanced analytics, AI, and business intelligence initiatives.
Required Skills
• Strong experience as a Data Architect, Data Engineer, Data Analyst, or Data Scientist
• Hands-on experience with Microsoft Fabric
• Expertise in Graph Databases such as Neo4j, TigerGraph, or Amazon Neptune
• Strong knowledge of Ontologies, OWL (Web Ontology Language), Semantic Web technologies
• Experience building Knowledge Graphs and semantic data models
• Experience with RAG (Retrieval-Augmented Generation) architectures and GenAI solutions
• Strong SQL and data modeling skills
• Experience with data integration, ETL/ELT, and enterprise data platforms
• Knowledge of cloud platforms such as Azure, AWS, or GCP
• Experience with Python, Spark, or other data engineering technologies
Responsibilities
• Design and implement enterprise data architecture using Microsoft Fabric.
• Develop and maintain ontology-based semantic data models.
• Build and optimize knowledge graph solutions using Neo4j, TigerGraph, or Neptune.
• Design and implement RAG frameworks for AI and GenAI applications.
• Collaborate with business and technical stakeholders to define data strategies.
• Integrate structured and unstructured data sources into unified data platforms.
• Establish data governance, metadata management, and data quality standards.
• Support advanced analytics, machine learning, and AI initiatives.
• Optimize graph queries, data pipelines, and platform performance.
• Provide architectural guidance and best practices across data engineering teams.
Must Have Skills
Microsoft Fabric, Graph Databases (Neo4j/TigerGraph/Neptune), Ontology/OWL, Knowledge Graphs, RAG, Data Architecture, SQL, Cloud Platforms, Data Modeling.






