Ontology Subject Matter Expert (SME) - $165K-$230K + 15% 401k

Apply Job Type Full-time Description About Millennial Software: Millennial Software is revolutionizing the landscape of security and defense by leveraging our core competencies in software development, automation, DevSecOps, and machine learning. 100% company-paid medical, dental, and vision premiums for you and all dependents Ability to get increased salary if you don't need medical/dental/vision 100% company-paid disability and life insurance benefits 15% 401(k) company contribution 30 days of PTO/holidays Generous training budget Paid Paternal and Maternal Leave Business development / growth incentives Top notch company swag 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 Must be willing to work on-site a minimum of 3 days a week, with 2 days of remote flexibility; depending on business needs 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 Millennial Software Solutions Inc. is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor. Salary Description $165,000-$230,000