Azure/Databricks Infrastructure Engineer

About the role

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation.

Responsibilities

• Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
• Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
• Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
• Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
• Sustaining cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
• Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
• 4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
• Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
• Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
• Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
• Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
• Strong understanding of cloud security, networking, governance, and enterprise platform operations
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

Qualifications

• Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
• Experience supporting AI/ML or advanced analytics infrastructure environments
• Azure and/or Databricks certifications preferred
• Experience working across hybrid cloud or enterprise modernization initiatives
• Consulting experience supporting large-scale transformation programs