Graph DB/Neo4j Architect

Comspark group • Atlanta, GA

24d • Onsite

About The Position

We are seeking a highly skilled Graph Database Architect with extensive hands-on experience in designing, implementing, and optimizing graph database solutions. The ideal candidate will have deep expertise in graph data modeling, query optimization, and system architecture, with a strong background in technologies like Neo4j, AWS Neptune, TigerGraph, or ArangoDB, preferably in Neo4j.

Requirements

• 8+ years of experience in database architecture and design, with at least 3+ years focused on graph databases.
• Hands-on expertise with one or more graph databases: Neo4j, AWS Neptune, TigerGraph, ArangoDB, JanusGraph, or similar. Preferably in Neo4j.
• Strong knowledge of graph data modeling, cypher query language (CQL), Gremlin, or SPARQL.
• Proficiency in designing scalable architectures and working with large-scale graph datasets.
• Experience with Graph Algorithms, PageRank, Shortest Path, Community Detection, etc.
• Experience in deploying graph databases in cloud environments, preferably in AWS.
• Strong programming skills in Python, Java, or Scala for building graph-based applications.
• Experience with ETL pipelines, data ingestion, and API integrations for graph databases.
• Knowledge of security best practices, including access control, encryption, and compliance in graph data storage.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Nice To Haves

• Experience in knowledge graphs, semantic web technologies, or linked data.
• Understanding of machine learning on graphs (Graph Neural Networks, Graph Embeddings, etc.).
• Contributions to open-source graph database projects or active participation in the graph database community.
• Certifications in Neo4j, AWS Neptune, or other relevant technologies.

Responsibilities

• Architect and design scalable, high-performance graph database solutions tailored to business needs.
• Develop graph data models and define best practices for efficient querying and storage.
• Optimize database performance, indexing strategies, and query execution for large-scale datasets.
• Integrate graph databases with existing enterprise systems and data pipelines.
• Collaborate with data engineers, software developers, and business teams to define use cases and implement graph solutions.
• Evaluate and recommend the best graph database technologies based on project requirements.
• Ensure security, availability, and scalability of graph database systems.
• Stay up to date with advancements in graph database technologies and industry best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed