Seeking a Senior Azure Cloud Platform Engineer with experience with Geospatial platforms and Datalake
Job details
The Enterprise Analytics and Technology Services (EATS) section are looking for an Azure Cloud Platform Engineer who has experience in managing cloud hosted infrastructure using infrastructure as code in support of data and analytics workloads.
Key duties and responsibilities
The roles will be responsible for the detailed solution design, development, and implementation of infrastructure in Azure in support of data and analytics workloads. These outcomes are delivered using an infrastructure as code deployment model using Terraform and the successful candidate with require experience with the following platforms and technology:
1. Azure Cloud
1. Azure Databricks
2. Azure Data Factory
3. Azure Web Apps
4. Logic Apps
1. Networking
2. Identity and Access Management
3. Policy
4. Azure hosted Data and Analytics Platforms such as
5. Azure security features such as
- Infrastructure as Code
1. Terraform based infrastructure management
2. Azure DevOps CI/CD Pipelines
- Collaboration with stakeholders to gather requirements to design and implement Advanced Analytics and AI solutions.
- Experience in delivery and/or administration of Databricks, Microsoft Fabric or other analytical services.
- Desirable
1. Experience in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).
2.
Delivery and or administration experience with traditional data technology solutions
Essential criteria
- Experience designing, building and maintaining cloud hosted platforms and services (Infrastructure, Platform and Software as a Service)
- Experience developing, implementing, and supporting cloud infrastructure using an infrastructure as code (IaC) approach
- Understanding of cloud security features for platforms and services such as Identity and Access Management, Networking and Policy
- Experience working in Data and Analytics focused projects (Data Engineering, Storage or Data Science)
- Working with multi-disciplinary teams using an Agile methodology -
Desirable criteria
- Experience work with Data Lake
- Experience working with Geospatial platforms
Contract: 12 Months Contract with 2 x 12 month extensions
Location - Canberra, Hybrid -On site 3 days a week
How to Apply - Please upload your resume to apply. Candidates will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification and any other client requested checks
Closing date: Sunday 7 September 2026 by 9am
Call Joanne Finchett on 04•• •••454 or email ••••@whizdom.com.au for any further information