Administer and operate Azure Databricks platforms while enabling AI capabilities such as Model Serving, Vector Search, Lakebase, and MCP Server. Engineer Azure infrastructure, networking, security, governance, monitoring, and automation using Terraform, Bash, Azure DevOps, Git, and CI/CD. Support Spark, Delta Lake, Unity Catalog, and Lakehouse technologies, with AWS-to-Azure integration and AI/LLM platform experience considered valuable.
We are seeking a Senior Azure Databricks
Platform Engineer (5+ years) to augment our platform team and accelerate
the enablement of new AI capabilities within Azure Databricks.
Key focus areas:
- Azure Databricks platform administration and operations
- Enabling AI features such as Model Serving, Vector
Search, Lakebase, and MCP Server
- Azure infrastructure engineering (Networking, Private
Endpoints, Storage, Key Vault, Entra ID, RBAC)
- Infrastructure as Code using Terraform
- Automation and scripting (Bash; PowerShell desirable)
- Azure DevOps, Git, and CI/CD
- Enterprise security, governance, monitoring, and
operational best practices
- Data platform technologies including Spark, Delta Lake,
Unity Catalog, and Lakehouse architectures
- AWS to Azure integration experience desirable
- AI/LLM platform experience highly regarded
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