Graph DB (Neo4j, Amazon Neptune)Consultant

JOB TITLE:    Graph Architect (No C2C, only W2)
LOCATION:    Remote from the USA
INDUSTRY:     Pharmaceutical
 
JOB SUMMARY:  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.
 
RESPONSIBILITIES:

• 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, including deep traversals, pattern matching, aggregations, and pathfinding, ensuring high performance and low latency.
• Design and evolve enterprise knowledge graphs, including ontology design, semantic modeling, and connected-label structures to enable intelligent navigation, reasoning, and reuse of data.
• Configure and manage Amazon Neptune clusters, including writer/reader endpoints, replicas, networking (VPC isolation), IAM-based authentication, and security best practices.
• Design and operate ETL pipelines to populate graph databases using S3 bulk loads (CSV/RDF), AWS Glue, Lambda, Kafka, or streaming sources. Leverage Neptune Streams for change data capture where applicable.
• Design for query efficiency and scale, avoiding supernode issues, implementing appropriate indexing strategies, monitoring query plans, and supporting temporal/versioned graph use cases.
• Build and maintain Python‑based REST APIs (e.g., FastAPI) that expose graph data to downstream applications. Integrate graph services with enterprise systems and AI platforms.
• Support hybrid vector + graph architectures, enabling GraphRAG and AI‑driven reasoning by combining embeddings with graph traversal for enhanced contextual retrieval and inference.
• Partner with data engineers, application developers, AI/ML teams, and business stakeholders to define requirements, validate models, and ensure graph solutions align with business and domain needs.
• Establish standards for graph modeling, query development, versioning, and documentation. Support compliance, auditability, and long‑term maintainability of graph‑based systems.
• Utilize tools such as Neptune Workbench (Jupyter) or Neo4j tooling to support exploratory analysis, prototyping, and validation of graph models and queries.

 
 
REQUIREMENTS:

• 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

 

• Translating traditional entity‑relationship (ER) models into optimized graph models
• 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
• Designing and implementing Connected Labels and knowledge graph patterns
• Experience with ontology design and semantic modeling

 

• Hands‑on experience with Amazon Neptune cluster setup, including writer/reader endpoints and replicas
• 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

 

• 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

 
 
Best-In-Class-Benefits:  We are in the people business; treating people right is our ONLY priority. Theoris Services consultants are full-time employees with full benefits, including:

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

 
About Theoris: 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. This knowledge is used to find the right job placement. Our recruiting teams are experts dedicated to the information technology and engineering staffing space and are highly respected by our client base.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Rate of pay within the stated range will depend on the qualification of the applicant.