Senior Cloud Engineer (data & Ml)

Anglicare Sydney

Macquarie Park, New South Wales, Australia
On-site
Microsoft azure (data lake, data factory, synapse, event hub, azure ml, azure functions)
Databricks (cluster management, spark optimisation)
Large-scale data pipelines (batch and streaming)
Anglicare Sydney is seeking a Senior Cloud Engineer specializing in data and machine learning to architect and manage their cloud platforms. The role focuses on utilizing Microsoft Azure and Databricks to enhance data-driven decision-making and advanced analytics across the organization

Job Summary

  • You will play a critical, hands on role in architecting, building and operating Anglicare Sydney’s enterprise data and machine learning platforms.
  • This is a highly technical role that blends cloud engineering, data engineering, MLOps and DevSecOps, working closely with data scientists, ML engineers, architects and business stakeholders.
  • Be part of a values driven, purpose led organisation making a genuine difference in people’s lives.

Matching Summary

Match Score: 85

Anglicare Sydney is seeking a Senior Cloud Engineer specializing in data and machine learning to architect and manage their cloud platforms. The role focuses on utilizing Microsoft Azure and Databricks to enhance data-driven decision-making and advanced analytics across the organization.

Skills & Requirements

Must-have

  • Microsoft Azure (Data Lake, Data Factory, Synapse, Event Hub, Azure ML, Azure Functions)
  • Databricks (cluster management, Spark optimisation)
  • Large-scale data pipelines (batch and streaming)
  • Machine learning workflows (training, deployment, lifecycle)
  • MLOps (CI/CD for ML, versioning, monitoring)
  • DevSecOps (CI/CD, infrastructure automation with Terraform/Bicep)
  • Secure cloud architecture (RBAC, networking, encryption, governance)

Nice-to-have

  • Data modelling (Data Vault 2.0, dimensional, star schemas)
  • Reusable, modular architectures
  • End-to-end data platform patterns (medallion architecture)
  • Collaborative mindset and mentoring ability
  • Advocating best practices

Key Requirements

  • 5+ years in data engineering
  • 3+ years on cloud platforms (Azure & Databricks preferred)
  • Experience with public, multi cloud or hybrid cloud environments
  • Demonstrated expertise in DevSecOps, infrastructure automation and cloud security best practices

Work Rights

Not specified

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