Cloud Data Storage Architect

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.

Data Storage, Storage Architecture, Cloud Storage, Cloud Architecture, Storage Architecture, Cloud Computing, Data Storage, System Migration, Cloud Storage, Data Migration, 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.