Platform Engineer - Azure Databricks

XPT Software Australia Pty Ltd; Sydney; On-site; AUD 180,000 - 260,000; Full time

Job summary

XPT Software Australia Pty Ltd is seeking a Senior Azure Databricks Platform Engineer (5+ years) to join our platform team in Sydney. You will enhance AI capabilities within Azure Databricks, manage platform operations, and drive automation and security best practices.

Key areas include Terraform-based infrastructure, CI/CD with Azure DevOps, and data-lake technologies such as Spark, Delta Lake, and Unity Catalog. Previous AWS-to-Azure integration experience is a plus.

Qualifications

• 5+ years of experience in data/platform engineering or cloud data services.
• Strong knowledge of Azure Databricks and data lake architectures.
• Experience with Terraform and IaC practices.

Responsibilities

• Manage and optimize Azure Databricks platform operations.
• Enable AI features such as Model Serving, Vector Search, Lakebase, and MCP Server.
• Implement IaC with Terraform and automate tasks using Bash/PowerShell.

Skills

Azure Databricks

Platform administration

Terraform

Automation scripting

Bash

PowerShell

Azure DevOps

Git CI/CD

Security governance

Spark

Delta Lake

Unity Catalog

Lakehouse

AWS to Azure

AI/LLM platform

Job description

XPT Software Australia Pty Ltd | Contract

Sydney, Australia | Posted on 11/12/2026

• 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 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