Databricks Experience Required: Hands-on experience deploying or integrating Databricks on AWS, including workspace architecture, VPC connectivity, IAM roles, S3 or data lake access, secrets management, monitoring, cluster or compute policies, and CI/CD or infrastructure-as-code automation. The engineer will also design and support Databricks on AWS, including secure workspace connectivity, identity integration, storage access, networking, monitoring, and deployment automation for data engineering, analytics, and machine learning workloads.