Job Requirements
Remote
Secret Polygraph not specified
Senior Level Career (10+ yrs experience)
$145,000 - $180,000
Job Description
Resident Architect / Technical Delivery Consultant — AWS Neptune Ontology Platform
Location: Lakeland, FL (Tampa/Orlando area) | Remote up to 100%
Clearance: Active Secret required
Citizenship: U.S. citizenship required
Engagement type: Contract, 90-day period of performance
Anticipated start: June 2026 (subject to final contract execution)
About the Role
We are seeking a resident architect and technical delivery consultant to lead an AWS Neptune Ontology Platform engagement. This is a hands-on, customer-facing position, and the work centers on designing, building, and optimizing a knowledge graph solution that uses Amazon Neptune, RDF/OWL ontologies, and SPARQL across Aeronautics and RMS use cases in a non-production environment. You will partner closely with the customer's data engineering teams, integrate Generative AI capabilities into the ontology layer, and deliver hands-on training so the customer reaches long-term self-sufficiency. If you enjoy translating ambiguous domain problems into durable, well-governed graph architectures, this role was built for you.
Key Responsibilities
Develop and refine ontologies 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 that answer 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.
Drive 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 alongside the customer's data engineering teams.
Required Qualifications
Experience in data engineering, knowledge representation, or graph databases.
Deep expertise in Amazon Neptune or an equivalent graph database platform.
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 the 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.
Preferred Qualifications
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 and defense industry data governance requirements.
Skills and Competencies
Technical
Amazon Neptune (configuration, deployment, optimization)
RDF/OWL ontology engineering
SPARQL query development and optimization
Federated query design (Neptune plus 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
Clearance and Eligibility
Active Secret clearance required.
U.S. citizenship required.
Compliance
Must be able to work within the customer's regulated data environment.
Work is limited to non-production and proof-of-concept environments only.
Location: Lakeland, FL (Tampa/Orlando area) | Remote up to 100%
Clearance: Active Secret required
Citizenship: U.S. citizenship required
Engagement type: Contract, 90-day period of performance
Anticipated start: June 2026 (subject to final contract execution)
About the Role
We are seeking a resident architect and technical delivery consultant to lead an AWS Neptune Ontology Platform engagement. This is a hands-on, customer-facing position, and the work centers on designing, building, and optimizing a knowledge graph solution that uses Amazon Neptune, RDF/OWL ontologies, and SPARQL across Aeronautics and RMS use cases in a non-production environment. You will partner closely with the customer's data engineering teams, integrate Generative AI capabilities into the ontology layer, and deliver hands-on training so the customer reaches long-term self-sufficiency. If you enjoy translating ambiguous domain problems into durable, well-governed graph architectures, this role was built for you.
Key Responsibilities
Develop and refine ontologies 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 that answer 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.
Drive 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 alongside the customer's data engineering teams.
Required Qualifications
Experience in data engineering, knowledge representation, or graph databases.
Deep expertise in Amazon Neptune or an equivalent graph database platform.
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 the 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.
Preferred Qualifications
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 and defense industry data governance requirements.
Skills and Competencies
Technical
Amazon Neptune (configuration, deployment, optimization)
RDF/OWL ontology engineering
SPARQL query development and optimization
Federated query design (Neptune plus 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
Clearance and Eligibility
Active Secret clearance required.
U.S. citizenship required.
Compliance
Must be able to work within the customer's regulated data environment.
Work is limited to non-production and proof-of-concept environments only.
group id: 90970085