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Knowledge Graph Rdf Jobs (NOW HIRING)

Peraton

Senior Data Engineer - Knowledge Graphs

Reston, VA · On-site

$110.30K - $149.80K/yr

Senior Data Engineer - Knowledge Graphs Job Locations US-MD-Annapolis Junction | US-VA-Herndon | US ... RDF, graph analysis, semantic representation, ontology-informed data modeling, AMR, UMR, or NLP ...

Peraton

Senior Data Engineer - Knowledge Graphs

Reston, VA · On-site

$119.10K - $143K/yr

RDF, graph analysis, semantic representation, ontology-informed data modeling, AMR, UMR, or NLP ... Background in NLP, semantic parsing, knowledge representation, or computational linguistics

Peraton

Senior Data Engineer - Knowledge Graphs

Herndon, VA · On-site

$117.70K - $141.40K/yr

RDF, graph analysis, semantic representation, ontology-informed data modeling, AMR, UMR, or NLP ... Background in NLP, semantic parsing, knowledge representation, or computational linguistics

Peraton

Senior Data Engineer - Knowledge Graphs

Reston, VA · On-site

$119.10K - $143K/yr

RDF, graph analysis, semantic representation, ontology-informed data modeling, AMR, UMR, or NLP ... Background in NLP, semantic parsing, knowledge representation, or computational linguistics

Peraton

Senior Data Engineer - Knowledge Graphs

Herndon, VA · On-site

$109K - $148.10K/yr

Senior Data Engineer - Knowledge Graphs Job Locations US-MD-Annapolis Junction | US-VA-Herndon | US ... RDF, graph analysis, semantic representation, ontology-informed data modeling, AMR, UMR, or NLP ...

ClifyX

AI/ML Engineer

Lebanon, NJ · On-site

... with knowledge graph technologies (property graph and/or RDF frameworks) • Experience with Cypher and/or SPARQL • Strong data modeling and ontology design skills • Experience integrating ...

Peraton

Knowledge Base Engineer

Annapolis Junction, MD

$104K - $166K/yr

Collaborate with Knowledge Graph Engineers on knowledge base-to-knowledge graph integration #px2026 ... Familiarity with semantic web technologies (RDF, OWL, SPARQL) * Experience with vector search ...

Peraton

Knowledge Base Engineer

Annapolis Junction, MD · On-site

$104K - $166K/yr

Collaborate with Knowledge Graph Engineers on knowledge base-to-knowledge graph integration ... Familiarity with semantic web technologies (RDF, OWL, SPARQL) * Experience with vector search ...

Peraton

Knowledge Base Engineer

Basking Ridge, NJ

$104K - $166K/yr

Collaborate with Knowledge Graph Engineers on knowledge base-to-knowledge graph integration #px2026 ... Familiarity with semantic web technologies (RDF, OWL, SPARQL) * Experience with vector search ...

Peraton

Knowledge Base Engineer

Basking Ridge, NJ

$104K - $166K/yr

Collaborate with Knowledge Graph Engineers on knowledge base-to-knowledge graph integration #px2026 ... Familiarity with semantic web technologies (RDF, OWL, SPARQL) * Experience with vector search ...

Anblicks

Lead AI Engineer ( Agentic AI)

Richardson, TX · Hybrid

$93.10K - $122.60K/yr

Knowledge Graph & Ontology: RDF, OWL, semantic modeling * Graph Platforms: Strong hands-on with Neo4j and App Orchid * Graph Querying: Cypher (mandatory) * AI/GenAI: LLMs, RAG, Agentic AI (CrewAI ...

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How much do knowledge graph rdf jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for knowledge graph rdf in the United States is $33.84, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $44.95 per hour, depending on experience, location, and employer.

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

A Knowledge Graph RDF Specialist needs a solid understanding of semantic web concepts, RDF (Resource Description Framework), SPARQL querying, and experience with data modeling, often backed by a degree in computer science or information science. Familiarity with graph databases (such as Neo4j or GraphDB), ontology management tools, and standards like OWL or SKOS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data relationships into actionable insights. These skills ensure accurate knowledge representation, interoperability, and the ability to derive meaningful connections from large, diverse datasets.

What are the typical challenges faced when maintaining and updating a Knowledge Graph using RDF in a dynamic business environment?

Maintaining and updating a Knowledge Graph built on RDF can be challenging due to the need to ensure data consistency as new sources are integrated or existing data evolves. Keeping ontologies current and aligned with changing business requirements requires collaboration with domain experts and regular reviews. Additionally, handling large volumes of data efficiently while ensuring query performance and interoperability with other systems is an ongoing task. Effective communication with data engineers, analysts, and business stakeholders is essential to address these challenges and deliver reliable, business-relevant knowledge graphs.

What is a Knowledge Graph RDF specialist?

A Knowledge Graph RDF specialist is a professional who designs, builds, and maintains knowledge graphs using the Resource Description Framework (RDF). RDF is a standard model for data interchange on the web, allowing information to be structured as interconnected entities and relationships. These specialists work with semantic web technologies to organize complex data, enable advanced search and reasoning, and support machine learning applications. They often collaborate with data engineers, ontologists, and software developers to implement scalable and interoperable data solutions.

What is the difference between Knowledge Graph Rdf vs Data Scientist?

AspectKnowledge Graph RdfData Scientist
Required credentialsKnowledge of RDF, SPARQL, ontologiesStatistics, programming, domain expertise
Work environmentSemantic web, data integration, knowledge managementData analysis, modeling, predictive analytics
Employer and industry usageTech companies, research institutions, semantic web projectsFinance, healthcare, tech firms, consulting
Common search and comparison intentUnderstanding semantic data modelingAnalyzing data for insights

Knowledge Graph Rdf specialists focus on creating and managing semantic web data using RDF and related technologies, while Data Scientists analyze data to extract insights. Both roles require technical skills but serve different purposes within data management and analysis.

Infographic showing various Knowledge Graph Rdf job openings in the United States as of May 2026, with employment types broken down into 33% Temporary, and 67% Contract. Highlights an 54% Physical, 4% Hybrid, and 42% Remote job distribution, with an average salary of $70,381 per year, or $33.8 per hour.
Semantic Data Architect / Knowledge Architect at Atlanta, Georgia (3 days work from office)

Semantic Data Architect / Knowledge Architect at Atlanta, Georgia (3 days work from office)

Triunity Software

Atlanta, GA

$61.25 - $78.75/hr

Other

Posted 2 days ago

Job description

Semantic Data Architect / Knowledge Architect

Location: Atlanta, Georgia (3 days work from office)

Job Description

We are looking for a Semantic Data Architect / Knowledge Architect to lead foundational ontology and semantic layer design for a large-scale enterprise data initiative at a major credit bureau. The focus is on formal domain modeling, knowledge graph design, and metadata governance — establishing the conceptual backbone that enables downstream AI and agentic workflows. Owns end-to-end architecture for a federated, agent-mediated semantic layer spanning 20+ distributed systems on Google Cloud Platform. The primary deliverable is a well-structured semantic model for domains such as credit, digital identity, workforce (income/ employment), auto lending, insurance, mortgage, utilities, and government.

This is not a traditional data engineering or Google Cloud Platform platform role. Hands-on role — expected to design, prototype, and validate critical architectural patterns across the knowledge graph, ontology, and agentic AI stack.

Roles and Responsibilities

•     Design and govern enterprise ontologies using RDF/OWL standards for customer credit, digital identity, workforce (income/employment), auto lending, insurance, mortgage, and utilities data

•     Define business taxonomies, semantic vocabularies, and data classification frameworks aligned to compliance requirements

•     Build and evolve knowledge graph schemas for property graph and RDF-based representations

•     Integrate semantic layer with enterprise data catalog tooling including Collibra and Google Data Catalog / Dataplex

•     Collaborate with AI architects to ensure ontology structures are optimized for agent-driven retrieval and context injection addressing concerns of latency, accuracy, explainability, and compliance

•     Work with Google Cloud Platform data services such as Spanner Graph and BigQuery to align logical models with physical graph storage

•     Lead problem framing and POC design sessions with client stakeholders to define ontology structure and graph schemas

•     Produce architecture artifacts including ontology documentation, semantic layer blueprints, and governance frameworks

•     Conduct architecture reviews, define NFRs (latency, scalability, accuracy, explainability, compliance), and establish technical guardrails

•     Mentor and guide the India-based delivery team on architecture patterns and best practices

Must-Have Skills

•     15+ years in enterprise architecture with at least 3 years in a principal/chief architect capacity

•     Deep experience in Ontology design using OWL / RDF / RDFS,

•     Production experience designing knowledge graphs, ontologies, or semantic layers (RDF/OWL, Property Graphs, SPARQL, Cypher)

•     Experience architecting federated/distributed metadata systems and data governance

•     Experience with Collibra for data catalog, business glossary, and policy governance

•     Experience with SPARQL and / or Cypher query proficiency

•     Experience with credit bureau data models, FCRA compliance, permissible-use governance, or equivalent regulated financial data environments

•     Proven ability to operate as a client-facing technical leader in enterprise engagements

Nice-to-Have Skills

•     Direct experience with Credit Bureau technology stacks

•     Google Data Catalog / Dataplex hands-on experience

•     Google Cloud Platform Spanner Graph or Neo4j for graph storage

•     Familiarity with GraphRAG or semantic retrieval patterns

•     Experience with FIBO (Financial Industry Business Ontology)

•     Understanding of agentic AI patterns — MCP servers, LangGraph, tool orchestration, agent-mediated workflows

•     Experience with Google Cloud Platform data & AI stack: Vertex AI, BigQuery, Spanner (including Spanner Graph), Dataplex, Cloud Composer, Dataflow

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About Triunity Software

Sourced by ZipRecruiter

Triunity is a Product Development, Staff Augmentation, and Consulting Services company providing solutions and services in North America. We provide IT services and technology solutions to various business verticals like Healthcare, Pharma, Banking, Finance, etc. Our goal is to develop a long-term partnership with businesses and help them get a competitive advantage by providing IT infrastructure and software platforms.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Iselin, NJ, US

Year founded

2021

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