Graph Database Architect

  • Bellevue, WA
  • Posted 1 day ago | Updated 1 hour ago

Overview

Remote
On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

OWL
RDF
Neo4j
Graph
Database Architect
Ontology Modelling
Gremlin
Cypher
Azure Cosmos DB
Graph API
AWS Neptune
GCP Graph Solutions

Job Details

Position: Graph Database Architect

Location: Remote

Duration: Long term contract

About the Role:

We are seeking an experienced Graph Database Architect to design, optimize, and implement scalable graph-based data solutions. The ideal candidate will bring deep expertise in OWL/RDF ontology design, performance optimization, and hands-on experience with leading graph database technologies, particularly within Azure Cosmos DB.

Key Responsibilities:

  • Design and implement graph database solutions with a focus on ontology modelling (OWL, RDF).
  • Architect and optimize data models for scalability, performance, and maintainability.
  • Develop and maintain graph-based queries and pipelines using Gremlin, Cypher, and related query languages.
  • Lead data integration and transformation efforts to support complex R&D, analytics, or business use cases.
  • Collaborate with cross-functional teams to translate business requirements into graph-based technical solutions.
  • Provide performance tuning, monitoring, and optimization of graph workloads in Azure Cosmos DB.
  • Ensure compliance with data security, governance, and industry standards.

Required Skills & Experience:

  • 8+ years of overall data architecture experience, with at least 3+ years focused on graph database solutions.
  • Strong knowledge of OWL/RDF, ontology design, and semantic web standards.
  • Proven hands-on experience with Gremlin, Cypher, Neo4j, and other graph query languages.
  • Expertise in Azure Cosmos DB (graph API), including deployment, scaling, and performance optimization.
  • Strong understanding of data modeling, indexing, and query optimization techniques.
  • Experience in integrating graph databases with enterprise applications, APIs, and data pipelines.
  • Excellent problem-solving and communication skills to bridge business and technical requirements.

Nice to Have:

  • Familiarity with other cloud data platforms (AWS Neptune, Google Cloud Platform Graph Solutions).
  • Knowledge of machine learning or AI applications leveraging graph databases.
  • Experience in ontology-driven analytics or semantic data integration.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.