Azure/Databricks Infrastructure Engineer

About the role

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

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)
• 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