Cloud Engineer Azure Databricks

VALCE T@lent Solutions

WorldwideFully remoteFull TimeSeniorInformation Technology
No salary statedPosted 1w ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 11 days ago · apply link checked 3 hours ago

About the role

Responsibilities

  • Design, implement, and administer the Azure foundation for the data and AI platform
  • Author and maintain reusable Terraform modules for Databricks, ADLS Gen2, and Azure ML
  • Implement private networking, hub-and-spoke topology, and security posture
  • Manage ADLS Gen2 storage account architecture and access patterns
  • Oversee Azure Data Factory integration runtime provisioning and deployment automation
  • Provision infrastructure for machine learning workloads including GPU quota and MLflow integration
  • Build monitoring layers using Azure Monitor and Log Analytics
  • Manage FinOps, cost visibility, and capacity planning for DBU and storage spend
  • Establish platform standards and reference configurations for Databricks administration

Requirements

  • 6+ years in cloud infrastructure or platform engineering
  • 4+ years focused on Microsoft Azure
  • Expert-level hands-on experience with Terraform
  • Demonstrable experience in Databricks administration, including Unity Catalog and cluster policies
  • Deep knowledge of Azure Networking, Entra ID, and RBAC
  • Experience with ADLS Gen2 design at enterprise scale
  • Platform-side experience with Azure Data Factory
  • Proficiency in Python, PowerShell, and/or Bash

Preferred Qualifications

  • Experience with Databricks Asset Bundles and workspace-as-code patterns
  • Experience leading Unity Catalog migrations
  • Knowledge of Azure Machine Learning and MLflow
  • Experience with Kubernetes, AKS, and containerized workloads
  • Familiarity with Policy as Code (Azure Policy, OPA, Sentinel)
  • Experience with Event Hubs, Kafka, or Stream Analytics
  • Formal FinOps practice experience

What we look for

  • 6+ years cloud infrastructure experience
  • 4+ years Microsoft Azure experience
  • Expert-level Terraform
  • Databricks administration
  • Azure Networking and Security
  • ADLS Gen2 design
  • Azure Data Factory platform operations
  • Python, PowerShell, or Bash
AzureDatabricksTerraformPythonAzure MLUnity Catalog
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