Principal Database Engineer/Specialist

Concurrent Technologies Corporation•Washington, DC

11d•$143,850 - $225,000•Hybrid

About The Position

The Principal Database Engineer/Specialist independently leads and delivers highly complex database engineering projects that are critical to the organization’s technical direction. The role applies expert-level database engineering principles to solve challenging technical problems, develop innovative solutions, and advance industry knowledge. It includes strategic planning, leadership of cross-functional teams, and direct contributions to organizational goals. The position defines and implements enterprise database strategies and architectures for large-scale, mission-critical systems; develops solutions for data storage, retrieval, and processing; and aligns database systems with organizational goals. It oversees database optimization, scalability, reliability, performance, disaster recovery, business continuity, and resolution of complex database issues. It establishes data governance and security practices, supports audit readiness and regulatory compliance, and maintains system documentation and executive reporting. The role leads projects and mentors senior team members, represents the organization with external stakeholders, and researches emerging technologies. Technical duties include Oracle Enterprise Edition and Oracle Enterprise Linux administration, Oracle RAC, Exadata, Oracle Label Security and partitioning; PostgreSQL cluster architecture and operations, performance profiling, and managed cloud PostgreSQL services; spatial and spatiotemporal databases; data fusion and geolocation tracking; cloud migrations; and Echelon 2 operations and maintenance for data feeds. The role may also support high-volume ingestion, ETL and streaming, web-extractor architectures, UI/widget integration, and cloud geospatial alternatives. This is a hybrid position at a client site in Washington, DC, requiring onsite presence at least two days per week. A TS/SCI clearance is required, and the candidate must be able to obtain TS/SCI clearance.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field.
10 or more years of experience in database engineering or equivalent work experience.
Expert-level proficiency in SQL and relational database management systems such as Oracle, SQL Server, or MySQL.
Proven experience designing and optimizing enterprise-level database systems and architectures.
Strong problem-solving skills and ability to independently address highly complex technical challenges.
Effective leadership and communication skills to manage projects and collaborate with stakeholders.
Must have a TS/SCI clearance or be able to obtain a TS/SCI clearance.

Nice To Haves

Master’s degree.
Extensive experience in DoD or government contracting environments.
Expertise in cloud-based database solutions such as AWS RDS or Azure SQL Database.
Advanced knowledge of database security, including encryption, access controls, and compliance standards.
Proficiency in scripting languages such as Python or PowerShell for database automation and management.
Familiarity with NoSQL databases such as MongoDB or Cassandra, big data technologies, and data warehousing solutions.
Experience with business intelligence tools such as Snowflake or Tableau and advanced analytics.

Responsibilities

Define and lead enterprise-level database strategies and architectures for large-scale, mission-critical systems.
Develop solutions for data storage, retrieval, and processing using database technologies and methodologies.
Align database systems with organizational goals and long-term objectives in collaboration with executive leadership and technical teams.
Oversee database optimization to ensure scalability, reliability, and performance in high-demand environments.
Lead development and implementation of database disaster recovery and business continuity plans.
Diagnose and resolve complex database issues, including performance bottlenecks, data corruption, and security vulnerabilities.
Establish and enforce data governance policies to support data integrity, accuracy, and compliance with DoD and industry standards.
Design and implement database security measures, including encryption and access controls, and support regulatory compliance.
Prepare databases for audits and ensure adherence to industry best practices and legal regulations.
Develop and maintain documentation of enterprise database designs, configurations, processes, and procedures.
Create executive-level reports and dashboards on database performance, usage trends, and system health.
Lead cross-functional teams delivering complex database solutions.
Mentor and guide senior team members and support their technical and professional development.
Represent the organization as a technical expert in discussions with external stakeholders, customers, and industry partners.
Research and implement emerging database technologies and methodologies to improve performance and scalability.
Contribute to organizational technology strategy and functional strategic planning.
Lead installation, tuning, and administration of Oracle Enterprise Edition (12c+), Oracle Enterprise Linux, RAC, Exadata, Oracle Label Security, and partitioning strategies.
Architect, deploy, and operate multi-node PostgreSQL clusters on premises and in the cloud; profile and tune performance; and manage cloud PostgreSQL services such as RDS/Aurora.
Design and maintain spatial and spatiotemporal databases using PostGIS and/or Oracle Spatial for geolocation, tracking, and time-series data.
Develop and optimize multi INT data fusion and geolocation tracking algorithms; implement database-level alerting and alarming; and perform long-term trending and anomaly analysis.
Plan and execute migrations of legacy Oracle/PostgreSQL data stores to IC/DoD and hybrid cloud environments, coordinating cloud security, compliance, and data migration strategies.
Provide Echelon 2 operations and maintenance support for tactical and strategic data feeds, including monitoring, incident response, and runbooks; maintain configuration management baselines for code and data.
Support high-volume ingestion, ETL, and streaming; bulk and parallel loading; Kafka and Airflow; web-extractor architectures; UI/widget integration; and cloud geospatial alternatives.