Sr. Graph Database Engineer/ Architect

Sr. Graph Database Engineer/ Architect Location: Remote 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, GCP Graph Solutions). • Knowledge of machine learning or AI applications leveraging graph databases. • Experience in ontology-driven analytics or semantic data integration.