Azure Databricks Infra & Migration Engineer

Cayuse Holdings, LLC

King of Prussia (PA)

On-site

USD 94,000 - 99,000

Full time

8 days ago
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Job summary

Cayuse Holdings, LLC is seeking an experienced Azure Databricks Infrastructure Engineer in King of Prussia, PA to execute migrations of Databricks environments between Azure tenants. The role emphasizes risk mitigation, downtime minimization, and collaboration with architects, security, and business stakeholders.

The candidate should have deep expertise in Databricks, Azure cloud services, identity and access management, networking, data engineering, and platform modernization to drive a

Qualifications

  • Extensive Azure and Databricks migration experience across tenants.
  • Experience designing secure cloud landing zones and governance.
  • Proficiency with IaC and automation for migrations.

Responsibilities

  • Analyze tenant dependencies, networking, DNS, Private Endpoints, and IAM.
  • Define migration waves and cutover strategies for Databricks environments.
  • Migrate workspaces, policies, schedules, repositories, and secrets.
  • Validate Unity Catalog, data governance, and metadata schemas.
  • Develop rollback and recovery procedures and automate where possible.

Skills

Azure
Azure Databricks
Microsoft Entra ID
Azure Virtual Networks
Private Endpoints
Azure Key Vault
Azure Storage Accounts
Azure Data Lake Storage Gen2
Azure Monitor
Log Analytics
Azure Policy
Azure RBAC
Databricks
Workspace administration
Unity Catalog
Delta Lake
Databricks Repos
MLflow
Cluster management
Cluster policies
Secret scopes
Databricks REST APIs
Automation
Terraform
Azure DevOps
GitHub Actions
PowerShell
Azure CLI
Databricks CLI

Tools

Terraform
Bicep
ARM Templates
Databricks CLI
Azure CLI
PowerShell
GitHub Actions
Databricks REST APIs

Job description

Cayuse Holdings, LLC is seeking an experienced Azure Databricks Infrastructure Engineer in King of Prussia, PA to execute migrations of Databricks environments between Azure tenants. The role emphasizes risk mitigation, downtime minimization, and collaboration with architects, security, and business stakeholders.

The candidate should have deep expertise in Databricks, Azure cloud services, identity and access management, networking, data engineering, and platform modernization to drive a

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