Platform Architect/Consultant

NewGen Technologies•Tampa, FL

6d•Remote

About The Position

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.

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

Nice To Haves

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

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