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Knowledge Graph Architect Jobs in Philadelphia, PA

Jj

Director R&D AI Systems

Spring House, PA · On-site

Enable knowledge graph capabilities, ontology integration, semantic layers, entity resolution ... architecture, and product teams. * Establish testing patterns for prompt injection, data leakage ...

Jj

Director R&D AI Systems

Titusville, NJ · On-site

Enable knowledge graph capabilities, ontology integration, semantic layers, entity resolution ... architecture, and product teams. * Establish testing patterns for prompt injection, data leakage ...

Burlington

Data Architect

Edgewater Park, NJ

$62 - $79.75/hr

Advise AI and ML teams on semantic modeling, feature store design, and future knowledge graph adoption. Develop detailed architectural designs * Create high-level and low-leveldata modeldiagrams and ...

Judge Group, Inc.

Data Architect

Burlington, NJ · On-site

$120K - $140K/yr

Advise AI and ML teams on semantic modeling, feature store design, and future knowledge graph adoption. Develop detailed architectural designs * Create high-level and low-level data model diagrams ...

Burlington Stores

Data Architect

Beverly, NJ · On-site

$61.75 - $79.50/hr

Advise AI and ML teams on semantic modeling, feature store design, and future knowledge graph adoption. Develop detailed architectural designs * Create high-level and low-level data model diagrams ...

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All JobsKnowledge Graph Architect JobsKnowledge Graph Architect Jobs in Philadelphia, PA

Knowledge Graph Architect information

See Philadelphia, PA salary details

$46.9K

$129.9K

$203.3K

How much do knowledge graph architect jobs pay per year?

As of Aug 26, 2026, the average yearly pay for knowledge graph architect in Philadelphia, PA is $129,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $167,500.00 per year, depending on experience, location, and employer.

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 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.

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.

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Knowledge Graph Architect jobs near you

Enterprise Solutions Graph Database

H R PUNDITS INC

Collegeville, PA • On-site

Full-time

Re-posted 24 days ago

Job description

Job title : Enterprise Solutions Graph Database/ Architect
 Location: Upper Providence Township, PA
 (Onsite/Remote )
 Experience : 15 Years
Role Overview
 Seeking a seasoned Graph Database
 Knowledge Graph Expert to perform a comprehensive study of our existing platform. Evaluate our current architecture, data ontology, and query performance to provide a strategic roadmap. The goal is to evolve our Knowledge Graph into a robust, scalable engine that accelerates different Pharma areas ( drug discovery, clinical insights, and cross-departmental data democratization)
 
Required Qualifications
 Graph Expertise: 10+ years of experience with Graph Databases. Deep proficiency in LPG (Labeled Property Graphs) or RDF/Triple Stores.
 Pharma Domain Knowledge: Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical compounds, Patient journeys).
 Semantic Web Standards: Strong understanding of Linked Data principles, URI strategies, and ontology modeling.
 Data Engineering: Experience with ETL/ELT pipelines that feed graphs from unstructured (PDF publications) and structured (EDC, LIMS) sources.
 Advanced Analytics: Experience implementing Graph Data Science algorithms (centrality, community detection) or integrating Graphs with Machine Learning.
 Technical Stack Preferences
 Graph DBs: AnzoGraph, Neo4j, Stardog,
 Languages: Python, Java, SPARQL, Cypher, or Gremlin.
 Bio-Ontologies: Familiarity with OBO Foundry, ChEMBL, or Ensembl.