Execute a comprehensive data strategy, aligned with the organization's goals, and focuses on digital engineering, digital thread, and advanced analytics across weapon system design for initial development through sustainment. Oversee the design, implementation, and maintenance of scalable data infrastructure, to include data creation/collection, storage, management, integration and analysis, and data serving. Maintain knowledge of current and emerging Industry and DoD trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable. Stakeholder management skills, including presenting solutions to senior leadership. Manage data governance, data security, data modeling, and enterprise architecture frameworks. Understanding, managing, and integrating business or DoD Program data across a variety of tool sets and data sources. Data Architecture development with and understanding of data lakes, warehouses, and/or streaming platforms. Data Engineering experience with Architecture frameworks such as FACE, GCIA, EAF, FAF,OCSF Data Engineering experience with modeling languages such as AADL, SysML, and UML and tooling modeling environments, processes, and tools such as ACVIP, CAMEO, Rational, OSATE, CAMET, and CVIT. Continuous Integration/Continuous Deployment experience with CI/CD tools like Git tailored for data pipelines. Cloud Expertise experience and/or knowledge in cloud platforms like AWS or Azure. Principal Systems Data Architect - BS degree in Computer Science, Data Engineering, Information Systems, or a related field with 5 Years of related experience; 3 Years with Masters; 1 Year with PhD Sr. Principal Systems Data Architect - BS degree in Computer Science, Data Engineering, Information Systems, or a related field with 8 Years of related experience; 6 Years with Masters; 4 Year with PhD Must be a US Citizen with an active DoD Secret Clearance with an investigation date within the last 6 years Must be able to be successfully screened for Enhanced Security Clearances, within a reasonable amount of time as determined by the company to meet its business needs Active TS/SCI or TS with SCI eligibility at time of application. Relevant certifications such as AWS Certified Solutions Architect (Professional), AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, or Google Professional Data Engineer. MLOps, Observability Tools, Data Versioning, and Containerization for deploying data engineering workflows. Cloud security best practices, including IAM, encryption, and compliance with frameworks like NIST or FedRAMP. Knowledge of advanced networking concepts such as VPC peering, VPNs, and load balancing for data-heavy applications.