Senior Database Engineer

Platinum Technologies•Herndon, VA

About The Position

Platinum Technologies is seeking a Senior Database Engineer to join their team. This role involves designing, developing, implementing, and maintaining database infrastructure for Object-Based Intelligence (OBI) mission requirements, enterprise ontologies, and knowledge graph platforms. The Senior Database Engineer will act as the technical authority for relational, graph, and semantic database technologies, focusing on ontology-driven data integration and knowledge management. The position requires developing scalable data architectures for Semantic Web technologies, knowledge graphs, and AI/ML analytics, ensuring high availability, security, performance, and data integrity. Collaboration with ontology engineers, software developers, data architects, and Government stakeholders is key to enabling efficient data storage, retrieval, and management for mission operations.

Requirements

Must be a U.S. citizen and have an active TS/SCI with CI polygraph.
Minimum twelve (12) years of experience and an advanced degree or 17 years of experience with a bachelor's degree.
Demonstrated experience designing, implementing, and administering enterprise database solutions supporting mission-critical applications.
Experience with relational database management systems (e.g., PostgreSQL, Oracle, Microsoft SQL Server) and graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, or equivalent).
Experience designing and optimizing databases supporting Semantic Web technologies, RDF data stores, or knowledge graph platforms.
Experience developing ETL/ELT processes and integrating structured, semi-structured, and unstructured data from multiple enterprise sources.
Knowledge of database performance tuning, indexing, backup and recovery, replication, security, and high-availability architectures.
Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Responsibilities

Design, implement, administer, and optimize relational, graph, and semantic database environments supporting Object-Based Intelligence mission requirements.
Develop logical and physical data models that support ontologies, taxonomies, knowledge graphs, and enterprise metadata management.
Design and implement scalable database architectures that support Semantic Web technologies, including RDF triple stores, graph databases, and SPARQL query endpoints.
Develop and maintain Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes that integrate heterogeneous data sources into enterprise knowledge management platforms.
Collaborate with ontology engineers, software developers, data scientists, analysts, and Government stakeholders to translate mission requirements into efficient database designs and data integration solutions.
Optimize database performance through indexing strategies, query optimization, partitioning, replication, and capacity planning to support large-scale analytics and semantic reasoning workloads.
Implement database security controls, encryption, access management, backup and recovery procedures, and auditing capabilities in accordance with Government cybersecurity requirements.
Develop database automation, monitoring, and maintenance processes to ensure high availability, reliability, and operational efficiency.
Support AI/ML initiatives by providing scalable data infrastructure and optimized access to structured, semi-structured, and semantic data repositories.
Produce and maintain technical documentation, database standards, data dictionaries, configuration management artifacts, and operational procedures.
Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding database architecture, administration, and data management best practices.