• Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments. • Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies • Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations • Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments • Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats • Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices • Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering