Designs and maintains AWS data platform foundations, lakehouse architectures, batch and streaming pipelines, tokenization workflows, migration frameworks, governance controls, and DataOps automation. The role uses Spark, Kafka, Iceberg, AWS analytics services, CI/CD, infrastructure as code, and observability tooling to support secure hybrid cloud data and AI initiatives. Responsibilities also include schema governance, cost monitoring, technical documentation, disaster recovery, and cutover planning.

Designs and operates production-grade Amazon EKS platforms across AWS and on-premises environments. Responsibilities include hybrid Kubernetes networking, autoscaling with Karpenter, Bottlerocket lifecycle management, EMR-on-EKS workloads, GPU infrastructure for AI and voice inference, GitOps deployment, security policy enforcement, infrastructure as code, observability, disaster recovery, and operational documentation.