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Knowledge Graph Architect Jobs in Florida (NOW HIRING)

ServiceNow

Solution Architect AI Data

West Palm Beach, FL

$61 - $80.25/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

Artech

Data Architect with Fabric

Tampa, FL

$50 - $56/hr

Data Architect with Fabric Locations : Tampa, FL Duration: 6+ Months Pay Range: $50 - $56/Hour on ... knowledge of Graph RAG patterns and Ontology including OWL to join our team and support on the ...

Catalyst Labs, LLC

Applied AI Engineer

Jacksonville, FL

$129.70K/yr

What You'll Do Knowledge Graph & Mind Architecture * Design and evolve the graph-based architecture that models a mind's reasoning, associations, and conceptual hierarchies. * Develop novel ...

Catalyst Labs, LLC

Applied AI Engineer

Tampa, FL · On-site

$127.40K/yr

What You'll Do Knowledge Graph & Mind Architecture * Design and evolve the graph-based architecture that models a mind's reasoning, associations, and conceptual hierarchies. * Develop novel ...

Catalyst Labs, LLC

Applied AI Engineer

Miami, FL

$133.90K/yr

What You'll Do Knowledge Graph & Mind Architecture * Design and evolve the graph-based architecture that models a mind's reasoning, associations, and conceptual hierarchies. * Develop novel ...

SOSi

Data Lake Engineer

Miami, FL

$109.50K - $131.50K/yr

... knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ... Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML ...

SOSi

Data Lake Engineer

Doral, FL · On-site

$105.90K - $127.20K/yr

... knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ... Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML ...

SOSi

Data Lake Engineer

Doral, FL

$105.90K - $127.20K/yr

... knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ... Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML ...

SOSi

Data Lake Engineer

Doral, FL

$105.90K - $127.20K/yr

... knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ... Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML ...

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Knowledge Graph Architect information

What are the key skills and qualifications needed to thrive as a Knowledge Graph Architect, and why are they important?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.

What are some typical challenges Knowledge Graph Architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What are Knowledge Graph Architects?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.
What are popular job titles related to Knowledge Graph Architect jobs in Florida? For Knowledge Graph Architect jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph Architect jobs in Florida look for? The top searched job categories for Knowledge Graph Architect jobs in Florida are:
What cities in Florida are hiring for Knowledge Graph Architect jobs? Cities in Florida with the most Knowledge Graph Architect job openings:
Knowledge Graph Architect jobs near you

Knowledge Fabric Data Architect

Prophecy Technologies

Tampa, FL • On-site

$58 - $74.50/hr

Other

Posted 11 days ago

Job description

Role Overview:
We are seeking an experienced Data Architect / Engineer with expertise in Graph DB experience and ideally knowledge of Graph RAG patterns and Ontology including OWL to join our team and support on the development and implementation of a knowledge repository platform. In this role, you will design, build, and optimize data architectures that enable robust, scalable, and efficient knowledge of representation and discovery across complex, interconnected datasets.
Key Responsibilities:
  • Design, develop, and maintain data architectures and models specifically leveraging graph database technologies (e.g., Neo4j, Amazon Neptune, Tiger Graph).
  • Collaborate with data scientists, data engineers, and domain experts to understand data requirements and translate them into scalable graph data models and solutions.
  • Develop ETL/ELT processes for ingesting, transforming, and loading data into graph databases, ensuring data integrity, quality, and consistency.
  • Optimize data storage and retrieval for performance, query efficiency, and scalability in graph environments.
  • Implement data governance and security best practices in accordance with organizational policies.
  • Analyze complex datasets to identify relationships and create knowledge graphs that support insights and innovation.
  • Ensure seamless integration with other data platforms, APIs, and services within the overall data ecosystem.
  • Provide technical leadership, documentation, and standards for graph data architecture.
  • Stay updated with the latest trends and advancements in graph technology and data architecture.
Required Skills:
  • Proven experience as a Data Architect, Data Engineer, or in a similar role with a focus on graph databases.
  • Experience with .NET development.
  • Hands-on experience designing and deploying knowledge graphs and graph data models.
  • Strong proficiency in graph query languages such as Cypher, Gremlin, or SPARQL.
  • In-depth knowledge of graph database platforms (Neo4j, Amazon Neptune, Tiger Graph, etc.).
  • Solid understanding of data modeling concepts, relational and NoSQL databases.
  • Experience designing ETL pipelines and data workflows for graph-based systems.
  • Proficiency in programming languages such as Python, Java, or Scala used for data processing.
  • Familiarity with cloud platforms and services (AWS, Azure, GCP) relevant to data architecture.
  • Understanding of data governance, metadata management, and security protocols.
  • Excellent problem-solving skills and ability to work collaboratively in cross-functional teams.
  • Strong communication skills to convey technical concepts to both technical and non-technical stakeholders.
  • Good Communication Skill
  • ServiceNow
Qualifications:
  • 8-10 years of experience.
Preferred Skills:
  • Power BI and Databricks knowledge.
  • Exposure to Azure DevOps.
  • Experience with Semantic Web technologies and standards (RDF, OWL, Linked Data).
  • Knowledge of AI/ML applications leveraging graph data.
  • Background in knowledge management, knowledge graphs, or ontologies.
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes).

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