Australian Citizens residing in Australia with ability to obtain Baseline Clearance only respond.

• Contract start 07 August 2023 to 12 months, 2 x 12 months extensions.
• Australian Citizen, Ability to obtain Baseline Clearance, Canberra, Offsite role.

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Overview

The Enterprise Analytics and Technology Services (EATS) section in the Department of Agriculture, Fisheries and Forestry (DAFF) are looking for a is looking for Azure Platform Engineers who have experience in managing cloud hosted infrastructure using infrastructure as code in support of data and analytics workloads.

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

Azure hosted Data and Analytics Platforms such as

• Data Lake
• SQL Databases
• Azure Databricks
• Synapse Analytics

Azure security features such as

• Networking
• Identity and Access Management
• Policy
1. Infrastructure as Code
• Terraform based infrastructure management
• Azure DevOps CI/CD Pipelines
2. Infrastructure as a Service hosted platforms
• ArcGIS Enterprise
• Virtual Machine hosted services
3. Desirable - Experience with legacy data technology solutions Oracle, Ingres, SQL Server, Wintel Server Network file shares

Initial contract period is 12 months.

Preference is for candidates to hold a valid negative vetting level 1 security clearance.

Every application requires to address selection criteria as part of application submission.

Essential criteria

1. Experience designing, building and maintaining cloud hosted platforms and services (Infrastructure, Platform and Software as a Service) 25 %

2. Experience developing, implementing, and supporting cloud infrastructure using an infrastructure as code (IaC) approach 25 %

3. Understanding of cloud security features for platforms and services such as Identity and Access Management, Networking and Policy 20 %

4. Experience working in Data and Analytics focused projects (Data Engineering, Storage or Data Science) 15 %

5. Working with multi-disciplinary teams using an Agile methodology 15 %

Desirable criteria

1. Experience work with Data Lake

2. Experience working with Geospatial platforms

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