Senior Azure Cloud Engineer – Data & Analytics | Canberra | NV1

Pinaka Technology Solutions; Canberra; Hybrid; AUD 140,000 - 180,000; Full time

Job summary

Pinaka Technology Solutions in Canberra is seeking a Senior Azure Cloud Platform Infrastructure Engineer to design, build and maintain cloud-hosted infrastructure for analytics workloads.

The role requires experience with Terraform-based IaC, Azure Databricks, Data Factory, Web Apps and security controls, plus collaboration with stakeholders in an Agile environment. Hybrid work arrangement with office attendance in Canberra three days per week.

Qualifications

• Experience designing, building and maintaining cloud hosted platforms and services (IaaS/PaaS/SaaS).
• Experience delivering IaC-based cloud infrastructure using Terraform or similar.
• Understanding of cloud security: IAM, networking, and policy controls.
• Experience in Data and Analytics projects (data engineering, storage, or data science).
• Proven ability to work in Agile, multi-disciplinary teams.

Responsibilities

• Deliver design, development and implementation of Azure infrastructure for data analytics workloads.
• Manage infrastructure with Terraform-based IaC deployment.
• Work with Azure-hosted analytics platforms like Azure Databricks, Data Factory, Web Apps and Logic Apps.
• Implement Azure security features including IAM, networking and policy.
• Develop and support Azure DevOps CI/CD pipelines.
• Collaborate with stakeholders to gather requirements and design Advanced Analytics/AI solutions.
• Deliver and administer Databricks, Microsoft Fabric or other analytics services.

Tools

Azure Cloud

Azure Databricks

Azure Data Factory

Azure Web Apps

Logic Apps

Azure Networking

Identity and Access Management

Azure Policy

Terraform

Azure DevOps CI/CD pipelines

Databricks

Microsoft Fabric

MLOps

Job description

Senior Azure Cloud Platform Infrastructure Engineer (Multiple Roles)

Australian citizenship required. Must be able to obtain Negative Vetting Level 1 security clearance.

Location: Canberra (Hybrid).

RFQ Details

• RFQ ID: LH-07506
• Agency: Department of Agriculture, Fisheries and Forestry
• Closing Date: Monday, 7 September 2026 at 11:59pm Canberra time
• Estimated Start Date: Monday, 19 October 2026
• Initial Contract Duration: 12 months
• Extension Term: Other
• Number of Extensions: Not stated
• Experience Level: Senior – EL1 equivalent
• Security Clearance: Must be able to obtain Negative Vetting Level 1
• Location of Work: ACT
• Working Arrangements: Hybrid. Most of the section is located at Agriculture House in Canberra CBD. Staff are expected to attend the office at least three working days each week. In-person attendance at important Agile ceremonies and other important team or section events is required.
• Maximum Hours: 40 hours per week

Job Details

The Enterprise Analytics and Technology Services section is seeking two Azure Cloud Platform Infrastructure Engineers with experience managing cloud-hosted infrastructure using infrastructure as code to support data and analytics workloads.

Key Duties and Responsibilities

• Deliver detailed solution design, development and implementation of Azure infrastructure supporting data and analytics workloads.
• Manage infrastructure through a Terraform-based infrastructure as code deployment model.
• Work with Azure-hosted data and analytics platforms, including Azure Databricks, Azure Data Factory, Azure Web Apps and Logic Apps.
• Implement Azure security features covering networking, Identity and Access Management, and policy.
• Develop and support Azure DevOps CI/CD pipelines.
• Collaborate with stakeholders to gather requirements and design and implement Advanced Analytics and AI solutions.
• Deliver and/or administer Databricks, Microsoft Fabric or other analytical services.

Technical Skills

• Azure Cloud
• Azure Databricks
• Azure Data Factory
• Azure Web Apps
• Logic Apps
• Azure networking
• Identity and Access Management
• Azure Policy
• Terraform
• Azure DevOps CI/CD pipelines
• Databricks and Microsoft Fabric
• MLOps and LLMOps
• Traditional data technology solutions

Selection Criteria

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