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Knowledge Graph Architect Jobs (NOW HIRING)

$112 - $147/hr

Architecture & Design: Design and implement scalable, enterprise-grade knowledge graph schemas using property graph (e.g., Neo4j, TigerGraph) and/or RDF-based models. * Ontology Engineering: Define ...

Senior Knowledge Graph Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Architect scalable mapping pipelines that connect distributed physical data sources to the logical graph layer without data redundancy. * Enable AI and machine learning through structured knowledge ...

Architect scalable mapping pipelines that connect distributed physical data sources to the logical graph layer without data redundancy. * Enable AI and machine learning through structured knowledge ...

$140 - $210/hr

We are looking for an experienced Enterprise Data & Knowledge Graph Architect to lead enterprise data modernization initiatives for a Property & Casualty (P&C) Insurance client. This role will serve ...

With the 2025 acquisition of Altair Graph Studio , Siemens now offers a Knowledge Graph platform ... Guide enterprise AI adoption at the architectural and executive level $135,700 - $250,000 a year ...

Showing results 21-40

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 Aug 31, 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 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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What states have the most Knowledge Graph Architect jobs?

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Infographic showing various Knowledge Graph Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Senior Knowledge Graph Developer

On-site


United Airlines
Aviation • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Great coworkers

People enjoy working here

Good employer


$112 - $147/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


Job description

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what's next. Let's define tomorrow, together.

Description

We are seeking an experienced and passionate Senior Knowledge Graph Developer to design, build, and scale our enterprise knowledge graph initiatives. In this role, you will be the technical lead responsible for transforming complex, siloed data into an interconnected, semantic knowledge layer. You will bridge the gap between data engineering, ontology design, and AI/ML applications, ensuring our knowledge graphs are performant, governed, and instrumental in powering our next-generation AI and analytics solutions.

Key Responsibilities
  • Architecture & Design: Design and implement scalable, enterprise-grade knowledge graph schemas using property graph (e.g., Neo4j, TigerGraph) and/or RDF-based models.
  • Ontology Engineering: Define and maintain formal ontologies, taxonomies, and semantic models that standardize business meaning and entity relationships across domains.
  • Data Integration & Pipeline Development: Lead the development of robust ETL/ELT pipelines to ingest, transform, and map heterogeneous data sources (RDBMS, NoSQL, APIs, unstructured text) into the knowledge graph.
  • Query & API Optimization: Develop, optimize, and maintain complex graph queries (Cypher, SPARQL, Gremlin). Design stable, high-performance APIs to expose graph data for downstream AI services and applications.
  • AI/ML Integration: Collaborate with data science teams to integrate the knowledge graph with LLMs, RAG (Retrieval-Augmented Generation) pipelines, graph embeddings, and other agentic frameworks to enhance reasoning and explainability.
  • Governance & Performance: Establish best practices for graph data quality, lineage, access control, and metadata management. Monitor graph performance and optimize indexing and traversal strategies for production environments.
  • Technical Leadership: Act as a subject matter expert and mentor for junior engineers. Drive adoption of graph technologies through documentation, code reviews, and community-of-practice contributions.
QualificationsRequired Qualifications
  • Experience: 6-10+ years of software engineering or data architecture experience, with at least 4+ years dedicated to knowledge graph engineering, graph database development, or semantic web technologies.
  • Graph Technology Expertise: Proven hands-on experience with at least one major graph platform (e.g., Neo4j, AWS Neptune, Stardog, TigerGraph, GraphDB).
  • Query Languages: Deep proficiency in at least one graph query language (Cypher, SPARQL, or Gremlin).
  • Semantic Modeling: Strong understanding of RDF, OWL, RDFS, SKOS, and linked data principles.
  • Programming: Advanced proficiency in Python or Java for data processing, graph ingestion, and API development.
  • AI/ML Familiarity: Experience with or strong interest in graph-augmented AI, vector search, RAG, and large language model integration patterns.
  • Cloud & Infrastructure: Experience deploying and managing graph solutions in cloud environments (AWS, GCP, or Azure) using containerized workflows (Docker/Kubernetes).
Preferred Qualifications
  • Experience with ontology design tools like Protégé.
  • Knowledge of semantic validation frameworks such as SHACL or ShEx.
  • Experience working in a regulated industry with strict data governance, lineage, and PII requirements.
  • Proven track record of moving graph-based projects from PoC to production-scale enterprise capabilities.

The base pay range for this role is $112,480.00 to $146,540.00.

The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.

You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.

United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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