This role is an early opportunity, expecting to allow remote work up to 100%.
Serve as a resident architect and technical delivery consultant for an AWS Neptune Ontology Platform engagement. This role involves designing, building, and optimizing a knowledge graph solution using Amazon Neptune, RDF/OWL ontologies, and SPARQL for Aeronautics and RMS use cases in a non-production environment. The consultant will collaborate closely with customer data engineering teams, integrate Generative AI capabilities, and provide hands-on training to enable long-term self-sufficiency.
Responsibilities - Ontology development and refinement for Aeronautics and RMS use cases
- Design and implement federated query mechanisms across materialized ontologies in Amazon Neptune and virtual knowledge graphs (Ontop)
- Develop SPARQL queries to address specific competency questions across multiple business domains
- Configure Neptune instances with appropriate security models in non-production environments
- Design and deploy data security models and deployment architectures
- Integrate Generative AI capabilities with ontology structures for query and reasoning
- Implement iterative ontology refinement based on domain SME feedback
- Conduct hands-on training sessions on RDF, SPARQL, and Neptune capabilities
- Define ontology maintenance and change control processes
- Provide regular status reports and collaborate with engagement management
- Create production deployment guides and architecture documentation
- Co-develop solutions with customer data engineering teams
Requirements - US Citizenship
- Secret Clearance
- Experience in data engineering, knowledge representation, or graph databases
- Deep expertise in Amazon Neptune (or equivalent graph database platforms)
- Strong proficiency in RDF, OWL, SPARQL, and semantic web technologies
- Experience designing and implementing enterprise ontologies
- Hands-on experience with federated query architectures
- Knowledge of Industrial Ontologies Foundry (IOF) or similar ontology standards
- Experience with data security model design and IAM configurations in AWS
- Proven ability to design scalable deployment architectures on AWS
- Strong communication skills for stakeholder engagement and knowledge transfer
- Experience working in regulated or defense industry environments
- Technical Skills
- Amazon Neptune (configuration, deployment, optimization)
- RDF/OWL ontology engineering
- SPARQL query development and optimization
- Federated query design (Neptune + Ontop)
- AWS security (IAM, VPC, security groups)
- Generative AI integration patterns
- Graph database design patterns
- Soft Skills
- Technical leadership and mentoring
- Customer-facing communication and presentation
- Knowledge transfer and training delivery
- Cross-functional collaboration
- Problem-solving in ambiguous technical domains
- Stakeholder management across multiple business units
Desired Skills - Experience with Ontop or similar virtual knowledge graph tools
- Familiarity with Supply Chain Reference Ontology (SCRO) standards
- Experience integrating Generative AI with knowledge graphs or ontology systems
- AWS certifications (Solutions Architect Professional, Database Specialty)
- Experience with manufacturing or supply chain ontology use cases
- Prior experience delivering AWS Professional Services engagements
- Familiarity with aerospace/defense industry data governance requirements
