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