• Design and implement cloud-native data pipelines and storage architectures supporting large-scale analytics workloads. • Develop and maintain infrastructure-as-code solutions using Terraform, Python, and CI/CD tools for automated provisioning and deployment. • Architect scalable, resilient cloud data environments leveraging AWS, Azure, or GCP. • Optimize data ingestion, transformation, and distribution frameworks for performance, security, and cost efficiency. • Collaborate with DevSecOps, data science, and software teams to align platform engineering with business and mission objectives. • Integrate and manage containerized workloads using Kubernetes, Docker, and related orchestration tools. • Support monitoring, logging, and observability pipelines for system reliability and uptime. • Ensure compliance with FedRAMP, NIST, and FISMA frameworks for secure federal cloud environments.