Azure Databricks Platform Engineer

XPT Software; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

XPT Software in Sydney, Australia is seeking a Senior Azure Databricks Platform Engineer with 5+ years of hands-on experience to join our platform team. You will accelerate AI capability enablement within Azure Databricks, lead platform administration, and drive secure, scalable data lakehouse implementations.

You will design and implement IaC with Terraform, automation with Bash/PowerShell, and CI/CD pipelines using Azure DevOps and Git, while aligning with security, governance, and operational

Qualifications

• 5+ years of hands-on experience with Azure Databricks.
• Experience administering and operating Azure Databricks platforms.
• Proficient in CI/CD pipelines and automation.
• Proficiency in shell scripting (Bash) and/or PowerShell preferred.

Responsibilities

• Administer and operate Azure Databricks platform.
• Enable AI features like Model Serving, Vector Search, Lakebase, and MCP Server.
• Implement Infrastructure as Code using Terraform.
• Develop automation and scripting for platform management.

Skills

Azure Databricks

Platform administration

CI/CD pipelines

Shell scripting

Tools

Terraform

Azure DevOps

Git

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
  
• 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