Apogee Engineering has a new exciting position available for a Cloud Data Storage Architect that will support the designs and documents current and future data storage architectures, data flows, and migration plans in support of NASIC’s transition to secure, cloud-based storage solutions.
****Contingent Upon Contract Award****
Responsibilities:
Document current-state storage architectures and data flows, including dependencies and constraints.
Support the design of future-state cloud storage architectures aligned with NASIC Enterprise Architecture.
Develop high-level migration plans for transitioning legacy storage to cloud-based environments.
Coordinate with mission stakeholders to ensure secure and operationally effective storage solutions.
Identify storage-related risks and recommend mitigations.
Contribute to the monthly Cloud Storage Migration Posture Report describing data flows, transition status, and recommendations.
Qualifications:
Minimum Experience:
Citizenship: Must be a US citizen Clearance: Ability to obtain and maintain a TS/SCI security clearance.
Education / Years of Experience:
Minimum of three (3) years of experience in systems engineering, data engineering, or storage architecture.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical field; OR- six (6) additional years of work experience may be substituted for a Bachelor’s degree; -OR- four (4) additional years of work experience plus an Associate’s degree may be substituted for a Bachelor’s degree.
Experience designing or supporting storage solutions (on-premises or cloud) for complex systems.
Understanding of data security, encryption, and access control principles.
Ability to generate clear architectural diagrams and technical documentation.
Preferred Qualifications:
Experience with cloud-native storage (e.g., object storage, data lakes) in DoD/IC environments.
Familiarity with data migration planning and execution for large datasets.
Experience integrating storage solutions with analytics and IA/AI/ML workflows.