Job Summary We are seeking a Cloud Data Engineer to design, implement, and manage scalable data and object storage solutions across on-premises, cloud, inter-region, and inter-cloud environments. This role focuses on building secure, resilient, and high-performance data architectures that support structured and unstructured data, high-velocity pipelines, and multi-cloud ecosystems. The Cloud Data Engineer will collaborate closely with platform, software, and analytics teams to ensure data and storage solutions align with mission-critical requirements. Key Responsibilities Seamless Data and Object Storage Management • Design, implement, and manage databases and object storage solutions across hybrid and multi-cloud environments • Enable seamless data and object movement and synchronization between environments with high availability and low latency • Engineer and optimize object storage platforms (e.g., S3-compatible systems, MinIO, Ceph) for durability, performance, lifecycle management, and secure access Data and Storage Architecture Optimization • Build and maintain scalable data pipelines for structured and unstructured data, supporting ingestion, curation, metadata enrichment, and analytics workflows • Modernize storage architectures, including migration from legacy file-based systems to object-based storage • Implement data tiering, record/object-level authorization, and secure access controls Collaboration and Integration • Partner with development teams to optimize database and object storage usage • Integrate data services with containerized platforms (e.g., Kubernetes) and CI/CD pipelines • Collaborate with platform engineers, DevSecOps teams, and mission stakeholders to meet operational needs Governance and Security • Implement data governance policies, tagging, metadata schemas, and access controls • Develop and manage backup, restore, and disaster recovery procedures for databases and object storage • Monitor system performance and resolve capacity, availability, and performance issues Documentation and Troubleshooting • Document architectures, data flows, configurations, and operational procedures • Troubleshoot complex data, storage, performance, and access issues across development, integration, and production environments Required Qualifications • Bachelors degree in Computer Science, Engineering, Data Science, or a related STEM field (Masters preferred) • 5+ years of experience in data engineering, database administration, or object storage management • U.S. citizenship with the ability to obtain and maintain a TS/SCI security clearance • Proven experience managing databases and object storage across on-premises, cloud, inter-region, and inter-cloud platforms • Expertise with major cloud platforms (AWS, Google Cloud, or Microsoft Azure) • Hands-on experience with object storage technologies and data orchestration/automation tools • Strong proficiency in Python, SQL, and modern data engineering frameworks • Experience with both relational and non-relational databases • Knowledge of secure data handling, access controls, and data tiering • Ability to manage multiple priorities in a fast-paced environment Desired Qualifications • Active TS/SCI clearance • Security+ CE or similar certification • Experience supporting Intelligence Community or mission-critical programs • Familiarity with data catalogs, search/indexing, and discovery tools • Experience with streaming data platforms and event-driven architectures • Knowledge of DevSecOps practices, security scanning, and accreditation processes • Understanding of analytics, machine learning, or large-scale data exploitation workflows