Senior Azure Data Platform Engineer - Analytics & AI

Whizdom; Canberra; Hybrid; AUD 140,000 - 180,000; Full time

Job summary

Whizdom in Canberra invites a Senior Azure Cloud Platform Engineer to lead cloud infrastructure for data and analytics workloads. You will design, build, and maintain cloud hosted platforms using IaC, focusing on Azure Databricks, Data Factory, and secure IAM settings.

This role requires collaboration with multi-disciplinary teams in an Agile environment, delivery of Databricks/Microsoft Fabric services, and potential involvement in ML Ops; 12-month contract with extensions, on-site three days a

Qualifications

• 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 IAM, 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.

Responsibilities

• Azure Cloud: manage cloud hosted infrastructure including Databricks, Data Factory, Web Apps, Logic Apps and networking.
• Infrastructure as Code: Terraform based management and Azure DevOps CI/CD pipelines.
• Collaborate with stakeholders to gather requirements and design Advanced Analytics and AI solutions.
• Deliver and/or administer Databricks, Microsoft Fabric or other analytical services.
• Desirable: ML Ops and LLM Ops experiences; delivery/administration of traditional data tech.

Skills

Azure Cloud Platform

Infrastructure as Code (IaC)

Agile methodology

Data and Analytics focus

Collaboration with stakeholders

Tools

Terraform

Azure DevOps

Azure Databricks

Azure Data Factory

Azure Web Apps

Logic Apps

Networking

Identity and Access Management (IAM)

Policy

Job description

Whizdom in Canberra invites a Senior Azure Cloud Platform Engineer to lead cloud infrastructure for data and analytics workloads. You will design, build, and maintain cloud hosted platforms using IaC, focusing on Azure Databricks, Data Factory, and secure IAM settings.

This role requires collaboration with multi-disciplinary teams in an Agile environment, delivery of Databricks/Microsoft Fabric services, and potential involvement in ML Ops; 12-month contract with extensions, on-site three days a