Senior Azure Databricks Platform Engineer

Infosys Apac; New South Wales; On-site; AUD 120,000 - 180,000; Full time

Job summary

Infosys Apac seeks a Senior Azure Databricks Platform Engineer (5+ years) to accelerate AI enablement in Azure Databricks. You will focus on platform administration, AI feature enablement, and secure, scalable infrastructure in Azure.

The role emphasizes Terraform-based IaC, automation, CI/CD, and strong governance across data and security domains. Prior AWS-Azure integration is a plus.

Qualifications

• 5+ years of experience in Azure Databricks platform engineering.
• Experience with Terraform and IaC tooling.
• Familiarity with AI features such as Model Serving, Vector Search, Lakebase, MCP Server.
• Experience with Azure infrastructure components: Networking, Private Endpoints, Storage, Key Vault, Entra ID, RBAC.
• Automation and scripting using Bash; PowerShell desirable.
• Azure DevOps, Git, and CI/CD pipelines.
• Enterprise security, governance, monitoring, and operational best practices.
• Data tech: Spark, Delta Lake, Unity Catalog, Lakehouse.
• AWS-to-Azure integration experience desirable.
• AI/LLM platform experience highly regarded.

Skills

Azure Databricks platform engineering

CI/CD

Automation scripting

Scripting (Bash)

PowerShell

Azure DevOps

Git

Security governance

Monitoring

Spark

Delta Lake

Unity Catalog

Lakehouse

AWS to Azure integration

AI/LLM platform

Tools

Azure Databricks

Terraform

PowerShell

Job description

We are seeking a Senior Azure Databricks Platform Engineer (5+ years) to augment our platform team and accelerate the enablement of new AI capabilities within Azure Databricks.

Key focus areas:

• Azure Databricks platform administration and operations
• Enabling AI features such as Model Serving, Vector Search, Lakebase, and MCP Server
• Azure infrastructure engineering (Networking, Private Endpoints, Storage, Key Vault, Entra ID, RBAC)
• Infrastructure as Code using Terraform
• Automation and scripting (Bash; PowerShell desirable)
• Azure DevOps, Git, and CI/CD
• Enterprise security, governance, monitoring, and operational best practices
• Data platform technologies including Spark, Delta Lake, Unity Catalog, and Lakehouse architectures
• AWS to Azure integration experience desirable
• AI/LLM platform experience highly regarded