What are the responsibilities and job description for the Graph Database Architect position at IT America Inc?
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, GCP Graph Solutions).
- Knowledge of machine learning or AI applications leveraging graph databases.
- Experience in ontology-driven analytics or semantic data integration.
