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Knowledge Graph Architect Jobs (NOW HIRING)

CYNET SYSTEMS

Knowledge Graph Architect/ Lead

San Jose, CA · On-site

$55 - $60/hr

... Knowledge Graph structures including entities, relationships, hierarchies, and semantic mappings. * 1+ years of experience in mapping business entities into graph-based semantic models. * 1+ years of ...

Point72

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

The role involves designing and implementing financial knowledge graph architecture, creating data processing pipelines, and promoting graph-based solutions across the organization. Responsibilities ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships. * Create robust graph processing pipelines for ...

Point72

Data Engineer, Knowledge Graph

New York, NY

$125K - $150K/yr

Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships. * Create robust graph processing pipelines for ...

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Knowledge Graph Architect information

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$46.5K

$128.8K

$201.5K

How much do knowledge graph architect jobs pay per year?

As of Jul 25, 2026, the average yearly pay for knowledge graph architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

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 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, 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.
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Knowledge Graph Architect jobs near you
Infographic showing various Knowledge Graph Architect job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
Data & Knowledge Graph Architect

Data & Knowledge Graph Architect

Inficare Technologies

Lake Dallas, TX • On-site

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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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