Developed confidential compute support for Google Dataproc clusters within the cloud-foundation-fabric repository, focusing on enhancing data security during processing. The work involved adding confidential_instance_config to the google_dataproc_cluster resource, enabling confidential workloads to run securely and in compliance with industry standards. Updated provider versions across multiple Terraform modules to ensure compatibility and stability of the new feature. Leveraged expertise in cloud infrastructure, Google Cloud Platform, and HCL to deliver an end-to-end solution that improves the security posture of Dataproc deployments. This contribution positions users to adopt confidential computing more broadly and strengthens configuration options for scalable, secure cloud workloads.