Azure Databricks Platform Engineer

XPT Software Australia Pty Ltd; Sydney; On-site; AUD 140,000 - 210,000; Part time

Job summary

XPT Software Australia Pty Ltd (Contract) in Sydney, Australia, is seeking a Senior Azure Databricks Platform Engineer with 5+ years experience to accelerate AI capabilities on the Azure Databricks platform.

The role focuses on platform administration, enabling AI features, and implementing IaC with Terraform, while driving automation, security, governance, and best practices across data and AI workloads.

Qualifications

Responsibilities

• Azure Databricks platform administration and operations.
• Enabling AI features such as Model Serving, VectorSearch, 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.

Skills

Azure Databricks

Platform administration

Terraform

CI/CD

Azure DevOps

Git

Spark

Delta Lake

Tools

Terraform

PowerShell

Bash

Azure DevOps

Git

Job description

XPT Software Australia Pty Ltd | Contract

Sydney, Australia | Posted on 11/05/2026

• XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
  
• XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
  
• We have 120+technocrats in Australia working at our clientlocations.
  
• XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
  
• We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
  

Job Description

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

Key focus areas:

• Azure Databricks platform administration and operations
  
• Enabling AI features such as Model Serving, VectorSearch, 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, andoperational 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