Job Type
Full-time
Description
Job Description: Millennial Software is seeking a Ontology Subject Matter Expert (SME) to join our team. You will provide technical leadership in the design, development, implementation, and optimization of enterprise data engineering solutions supporting Object-Based Intelligence (OBI) mission requirements, ontology-driven data integration, and advanced analytics. Our ideal candidate is a senior data engineering professional with experience developing scalable data architectures, pipelines, and integration frameworks across complex mission environments.
You will work closely with ontology engineers, software engineers, database engineers, data scientists, analysts, and Government stakeholders to develop secure and reliable solutions for ingesting, transforming, managing, and delivering structured, semi-structured, and unstructured data. This role will support enterprise ontologies, knowledge graphs, Semantic Web technologies, and AI/ML capabilities while maintaining strong standards for data quality, governance, interoperability, and security.
Essential Functions: - Lead the design, development, and implementation of enterprise-scale data engineering solutions supporting mission requirements.
- Design and optimize scalable data pipelines for ingesting, transforming, validating, and integrating data from multiple sources.
- Develop data integration frameworks supporting enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.
- Collaborate with technical teams 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 and maintain data quality, metadata management, lineage, and governance processes across enterprise data assets.
- Optimize data processing performance using distributed processing frameworks and scalable storage technologies.
- Support AI/ML initiatives by developing reliable data pipelines and curated datasets for model training, inference, and decision support.
- Develop automated monitoring, validation, and testing capabilities to ensure data accuracy, completeness, and operational reliability.
- Maintain technical documentation, data flow diagrams, interface specifications, data dictionaries, and engineering standards.
- Provide technical leadership, mentoring, and knowledge transfer to Government personnel and project team members on data engineering and enterprise integration practices.
Requirements
Required Qualifications: - Must be a U.S. Citizen
- Active TS/SCI clearance
- Must be able to successfully obtain and maintain a CI Polygraph
- 17+ years of relevant experience with a Bachelor's Degree or 12+ years of relevant experience with a Graduate 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 sources
- Experience with relational, NoSQL, and graph databases and distributed data processing platforms
- Knowledge of data modeling, metadata management, data governance, and enterprise data architecture principles
- Familiarity with Semantic Web technologies, knowledge graphs, or ontology-based data integration
- Experience supporting cloud-based or containerized data platforms, including Kubernetes and OpenShift
- Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders
Nice to have:- Experience supporting Object-Based Intelligence, Intelligence Community, or Department of Defense mission systems
- Experience developing enterprise data lakes, lakehouses, or data fabric architectures
- Experience with distributed data processing and integration technologies such as Apache Spark, Kafka, NiFi, Airflow, or equivalent
- Experience implementing data governance, master data management, metadata management, and data lineage solutions
- Familiarity with AI/ML data engineering workflows, feature engineering, and semantic enrichment techniques
- Experience integrating RDF triple stores, knowledge graphs, and semantic reasoning platforms into enterprise data architectures
- Relevant data engineering or data management certifications, such as AWS Certified Data Engineer, Google Professional Data Engineer, Azure Data Engineer Associate, CDMP, or equivalent
- Experience providing technical leadership, mentoring, and knowledge transfer to Government personnel or multidisciplinary teams
Salary Description
$165,000-$230,000
