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IT America

Graph Database Architect

IT America, Bellevue, Washington, us, 98009

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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. 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.

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