Azure/Databricks Infrastructure Engineer
Indexed description
This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.
Recruiting for this role ends on 10/6/2026.
Work You'll Do
As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...
- 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
- Supporting 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
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.
Qualifications
Required:
- 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.
- Limited immigration sponsorship may be available.
- 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
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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