Cloud Engineer – Azure Databricks

Posted 1hrs ago

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Job Description

Cloud Engineer administering Azure Databricks, Terraform, ADLS, and Azure ML infrastructure. Supporting global digital transformation projects for a multinational IT services powerhouse.

Responsibilities:

  • Design, implement, and administer the Azure foundation supporting the client platform
  • Author and maintain reusable Terraform modules provisioning Databricks workspaces, ADLS Gen2, Data Factory, Key Vault, networking, and Azure ML
  • Manage remote state, module versioning, drift detection, and deployment pipelines across development, test, and production
  • Design and implement private networking and security postures, including private endpoints, hub-and-spoke topology, VNet injection, NSGs, and RBAC
  • Own ADLS Gen2 infrastructure, including storage architecture, lifecycle policies, encryption, and access patterns
  • Manage Azure Data Factory platform operations, including integration runtime provisioning, linked-service credential design, and deployment automation
  • Provision and operate infrastructure for machine-learning workloads, including Azure ML workspaces, GPU capacity planning, MLflow registry integration, and Unity Catalog connectivity
  • Build and maintain monitoring with Azure Monitor and Log Analytics, including alerting and operational runbooks
  • Manage FinOps and capacity planning, optimizing DBU and storage costs
  • Establish platform standards, reference configurations, and multi-workspace strategies for the Databricks administration team
  • Advise on Unity Catalog metastore design, permission models, and Delta Sharing configurations
  • Oversee identity and access management through Entra ID integration, SCIM provisioning, and identity federation
  • Enforce compute governance through cluster policies, instance pools, node-type standards, and serverless evaluation
  • Perform cross-boundary diagnostics on failures spanning infrastructure, Databricks configuration, and workloads
  • Guide stakeholders and build consensus around architectural approaches

Requirements:

  • 6+ years in cloud infrastructure or platform engineering, with at least 4 years focused on Microsoft Azure
  • Expert-level, hands-on Terraform experience, including authoring production modules, managing remote state, and running IaC through CI/CD
  • Demonstrable hands-on Databricks administration experience, including account and workspace administration, Unity Catalog, cluster policies, identity federation, and cost governance
  • Deep working knowledge of Azure Networking & Security, including private endpoints, VNets, hub-and-spoke design, NSGs, Entra ID, managed identities, RBAC, and Key Vault
  • Enterprise-scale ADLS Gen2 design and access control experience
  • Azure Data Factory platform-side experience with integration runtimes, managed VNet, credential management, and deployment automation
  • Strong Python automation and scripting skills, plus PowerShell and/or Bash
  • Sufficient working knowledge of Spark and SQL to diagnose infrastructure/configuration-level performance issues
  • Track record as a senior technical partner capable of guiding stakeholders and building consensus around architectural approaches
  • Resilience, emotional intelligence, and focus on agile delivery
  • Deep understanding of the difference between coding and engineering
  • Advanced oral English
  • Advanced Spanish
  • Desired: Databricks Asset Bundles, Terraform Databricks provider, workspace-as-code patterns
  • Desired: Unity Catalog migration or multi-workspace consolidation experience
  • Desired: Azure Machine Learning, MLflow, or model-serving infrastructure experience
  • Desired: Kubernetes/AKS and containerized workloads experience
  • Desired: Policy as Code experience with Azure Policy, OPA, Sentinel, or Checkov
  • Desired: Event-driven infrastructure familiarity with Event Hubs, Kafka, or Stream Analytics
  • Desired: Formal FinOps practice experience
  • Desired: Multi-region or multi-tenant Databricks deployment experience
  • Relevant certifications are desired, including Databricks Certified Data Engineer Professional, Databricks platform administrator credential, Microsoft Azure Solutions Architect Expert (AZ-305), Azure Administrator Associate (AZ-104), DevOps Engineer Expert (AZ-400), or HashiCorp Certified Terraform Associate

Benefits:

  • Remote work arrangement
  • Flexibility to support your lifestyle
  • Global career opportunities
  • Exposure to high-impact projects
  • Work within an international network of expertise
  • Work on end-to-end digital transformation projects
  • Workplace recognized as one of the most sustainable corporations in the world