Data Architect

Data Architect – DoD Cybersecurity & Analytics Platform We are seeking a highly skilled Data Architect to join our mission-driven team supporting a Department of Defense (DoD) analytics platform at the forefront of cybersecurity, artificial intelligence (AI), business intelligence (BI), and data visualization. This is a strategic role focused on designing, building, and optimizing enterprise-level databases and data infrastructures that power cutting-edge defense analytics. As a Data Architect, you will ensure the performance, security, scalability, and integrity of complex data systems. Your work will directly support national security objectives by enabling robust data-driven decision-making and the integration of advanced technologies like AI/ML into real-time cybersecurity environments. Key Responsibilities • Design and implement enterprise database and data warehouse strategies for large-scale, high-security environments. • Establish and enforce best practices for database performance, security, availability, and disaster recovery. • Model, develop, and manage relational and distributed database systems to support analytics and operational use cases. • Optimize data workflows and infrastructure to support large-scale ingestion, transformation (ETL), and analytics workloads. • Integrate legacy systems and modern applications within unified data architectures. • Collaborate with AI/ML teams to design data schemas that enhance algorithmic performance and predictive analytics. • Enable data validation, cleansing, and automation for seamless pipeline operation and reporting. Required Qualifications • 10+ years of experience in database architecture and engineering. • Deep expertise in SQL-based databases: PostgreSQL, MySQL, Oracle, or equivalent. • Proven ability to design and manage enterprise-scale databases and data warehouses. • Strong knowledge of data security principles, especially in DoD-compliant environments. • Proficiency with ETL development, automation, and data pipeline orchestration. • Experience in schema design, query optimization, and performance tuning. Preferred Skills • Experience with big data frameworks: Hadoop, Databricks, or Snowflake. • Familiarity with AI/ML data structures and training data pipelines. • Cloud database experience with AWS RDS, Azure SQL, or Google Cloud SQL. • Background in supporting cybersecurity data platforms or mission-critical DoD systems. Clearance Requirements Active DoD clearance