[Hiring] Graph Database Consultant @Theoris

Role Description

Theoris is seeking a highly skilled Senior Graph Database Engineer to support advanced data modeling and architecture initiatives, including Connected Labels and knowledge graph–driven solutions. This role requires deep, hands-on expertise with graph databases—particularly Neo4j or Amazon Neptune—and strong experience designing, querying, and integrating graph data within an AWS-heavy ecosystem. The ideal candidate will also have exposure to graph + vector (GraphRAG) patterns supporting modern AI-enabled use cases.

• Architect and maintain scalable graph data models representing complex relationships, including many-to-many associations, hierarchies, and connected labeling patterns.
• Translate traditional entity-relationship models into optimized graph schemas.
• Write and optimize advanced Cypher (Neo4j) and/or SPARQL queries, ensuring high performance and low latency.
• Design and evolve enterprise knowledge graphs, including ontology design, semantic modeling, and connected-label structures.
• Configure and manage Amazon Neptune clusters, including networking and security best practices.
• Design and operate ETL pipelines to populate graph databases using various AWS services.
• Build and maintain Python-based REST APIs that expose graph data to downstream applications.
• Support hybrid vector + graph architectures for enhanced contextual retrieval and inference.
• Partner with data engineers, application developers, AI/ML teams, and business stakeholders to define requirements and validate models.
• Establish standards for graph modeling, query development, versioning, and documentation.
• Utilize tools such as Neptune Workbench or Neo4j tooling for exploratory analysis and validation of graph models and queries.

Qualifications

• Deep expertise in at least one graph database platform: Neo4j or Amazon Neptune.
• Strong command of Cypher (Neo4j) for complex traversals, pattern matching, and aggregations.
• Experience with SPARQL for RDF, semantic, or ontology-based workloads.
• Advanced graph data modeling, including nodes, edges, properties, and directionality.
• Schema design expertise, including decisions on when to use graph vs relational vs document databases.
• Index design and optimization, including native graph indexes, full-text indexes, and composite indexes.
• Efficient handling of many-to-many relationships in graph structures.
• Designing for query performance, including strategies to avoid supernode and hotspot issues.
• Experience with versioned and temporal graphs to track changes over time.
• Experience with ontology design and semantic modeling.
• Hands-on experience with Amazon Neptune cluster setup.
• Bulk data loading into Neptune from Amazon S3 (CSV and/or RDF formats).
• Working knowledge of Neptune Streams for change data capture and downstream processing.
• Implementing VPC isolation, IAM authentication, and secure access for Neptune.
• Experience with Neptune Analytics, including combined vector and graph query workloads.
• Familiarity with Neptune Workbench (Jupyter-based querying and exploration).
• Experience with Python graph libraries such as py2neo, Neo4j Python Driver, gremlinpython.
• Building graph-backed REST APIs, ideally using FastAPI.
• Designing and maintaining ETL pipelines feeding graph databases using AWS Glue, AWS Lambda, Kafka or other streaming solutions.
• Exposure to Vector + Graph (GraphRAG) architectures to support AI/LLM-driven applications.

Requirements

• Preferred: Experience supporting AI-enabled knowledge graphs.
• Preferred: Familiarity with semantic search, embeddings, or hybrid vector-graph queries.
• Preferred: Background in regulated or enterprise data environments.
• Preferred: Strong communication skills and ability to collaborate across engineering and data teams.

Benefits

• Robust Health Insurance
• 401(k) plan
• PTO
• Paid holidays

Company Description

Our goal is to Fuel Your Career! As a Theoris team member, you join a culture based on people-centered values and an environment that fosters both personal and professional growth. We build long-term relationships with our clients and our consultants. With over 30 years of building strong relationships in the industry, we’re uniquely positioned to make the right connections.