Seeking a skilled Databricks & Snowflake Infrastructure Engineer to automate and manage cloud platforms on AWS. This role focuses on building robust, scalable, and secure data environments using Infrastructure as Code (IaC) principles.

You will be instrumental in designing, implementing, and maintaining the core infrastructure for Databricks and Snowflake, ensuring seamless integration and operational excellence.

This hybrid position offers an exciting opportunity to work with cutting-edge cloud technologies and contribute to enterprise-scale data solutions.

Design and build Terraform templates for automated Databricks and Snowflake deployments on AWS. Deploy and configure Databricks workspaces, including Unity Catalog, and Snowflake accounts with robust security and access controls. Implement secure AWS infrastructure components like VPCs, PrivateLink, IAM, and KMS. Develop and maintain CI/CD pipelines for automated environment provisioning and management. Conduct thorough platform validation, operational readiness testing, and collaborate with cross-functional teams on deployment standards and governance. Troubleshoot complex infrastructure, connectivity, and security configuration issues, while creating reusable deployment accelerators and operational runbooks.

A minimum of 7 years in Cloud, DevOps, or Infrastructure Engineering is required, with at least 5 years dedicated to developing IaC solutions using Terraform and working with AWS services (VPC, IAM, KMS). Demonstrated experience (3+ years) in deploying and administering Databricks on AWS, including Unity Catalog, and Snowflake, covering account setup, RBAC, and security policies. Proficiency in CI/CD pipeline implementation (GitHub Actions, Azure DevOps, Jenkins, etc.) and experience with scripting languages like Python or Bash (2+ years). Strong understanding of secure cloud architectures, network isolation, and DevSecOps practices, along with experience in Agile environments and client-facing communication.