Ontology Subject Matter Expert (TS/SCI)

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.  Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.

Vantor is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and optimization of enterprise data engineering solutions supporting Object-Based Intelligence (OBI) mission requirements, ontology-driven data integration, and advanced analytics. The Data Engineering Subject Matter Expert serves as the senior technical authority for developing and implementing scalable data architectures, pipelines, and integration frameworks that enable the ingestion, transformation, management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web technologies, and AI/ML applications while ensuring data quality, governance, interoperability, and security across diverse mission systems. Working closely with ontology engineers, software engineers, database engineers, data scientists, and Government stakeholders, the Data Engineering SME develops modern data solutions that support mission analytics, knowledge discovery, and decision advantage.

Responsibilities:

• Lead the design, development, and implementation of enterprise data engineering solutions supporting Object-Based Intelligence mission requirements.

• Design and optimize scalable data pipelines for ingesting, transforming, validating, and integrating data from multiple internal and external sources.

• Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.

• Collaborate with ontology engineers, software engineers, database engineers, analysts, and Government stakeholders to translate mission requirements into scalable data engineering solutions.

• Design and implement data architectures supporting cloud-native, distributed, and hybrid computing environments.

• Establish data quality, metadata management, lineage, and governance processes to ensure consistency, traceability, and interoperability across enterprise data assets.

• Optimize data processing performance using modern distributed processing frameworks and scalable storage technologies.

• Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated datasets and semantic context for model training, inference, and decision support.

• Develop automated monitoring, validation, and testing capabilities to ensure data accuracy, completeness, and operational reliability.

• Produce and maintain technical documentation, data flow diagrams, interface specifications, data dictionaries, and engineering standards.

• Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and enterprise integration strategies.

Minimum Qualifications:

• Must be a U.S. citizen and have an active TS/SCI with CI polygraph.

• 12 years of experience and an advanced degree or 17 years of experience with a bachelor's degree.

• Demonstrated experience designing and implementing enterprise-scale data engineering solutions and data integration architectures.

• Experience developing ETL/ELT pipelines using modern data engineering tools and frameworks.

• Experience integrating structured, semi-structured, and unstructured data from heterogeneous enterprise data sources.

• Experience with relational databases, NoSQL databases, gr