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Knowledge Graph Architect Jobs in Texas (NOW HIRING)

IMO Health

VP, Chief Architect

Houston, TX · On-site

Advance the IMO Health Knowledge Graph and related clinical knowledge assets as foundational ... Architecture Leadership & Partnership * Lead and develop the Enterprise Architecture team while ...

IMO Health

VP, Chief Architect

Houston, TX · On-site

Advance the IMO Health Knowledge Graph and related clinical knowledge assets as foundational ... Architecture Leadership & Partnership * Lead and develop the Enterprise Architecture team while ...

Programmers.io

SAP AI Architect

Austin, TX · On-site

$81.50 - $109.75/hr

* AI Architect with Strong experience with SAP AI Core and AI model lifecycle management. * Hands on ... Knowledge of SAP Generative AI Knowledge Graph and semantic data modeling. * Extensive experience ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site

Design and implement Knowledge Graph and Graph RAG architectures to improve reasoning, contextual understanding, and retrieval accuracy. * Build and maintain enterprise knowledge models using ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site +1

Design and implement Knowledge Graph and Graph RAG architectures to improve reasoning, contextual understanding, and retrieval accuracy. * Build and maintain enterprise knowledge models using ...

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Knowledge Graph Architect information

What is a knowledge graph architect?

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 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 the key skills and qualifications needed to thrive as a knowledge graph architect?

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.

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What cities in Texas are hiring for Knowledge Graph Architect jobs?

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Knowledge Graph Architect jobs near you

Data & Knowledge Graph Architect

Inficare Technologies

Lake Dallas, TX • On-site

$150K/yr

Full-time

Re-posted 4 days ago

Job description

Job Title: Data & Knowledge Graph Architect
Job Type: Full Time
Experience: 10+ years
Job Overview
Our client is seeking a senior Data & Knowledge Graph Architect to build systems that collect, manage, and convert raw data into usable information for business requirements. You will play a crucial role in ensuring data retrieval, reliability, quality, and efficiency within the organization, with a focus on RDF-based graph databases and knowledge graph design.
Required Skills
  • Languages & Frameworks: Python, Java, Spark (10-12+ years)
  • Graph & Query: RDF-based Graph Databases (RDF4j, Virtuoso, GraphDB, Apache Jena), SPARQL (6+ years)
  • Vector Databases: Pinecone, FAISS (6+ years)
  • Data Engineering: Data Pipeline Design, Batch & Stream Processing, Kafka, Large Data Handling
  • Databases: SQL, NoSQL, RDS, Redshift, DynamoDB, Synapse, BigQuery, MongoDB
  • Cloud Platforms: Azure, AWS, GCP - minimum two platforms (8+ years)
  • APIs & Messaging: REST APIs, FastAPI, event-driven messaging technologies
  • AI Coding Agents: Proficiency in AI-assisted coding tools
  • Architect-level experience: 6+ years in an architect role

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