
Databricks Admin
3 weeks ago
Job Description
We are seeking a Senior DevOps Engineer – Databricks with strong experience in Azure Databricks to design, implement, and optimize Databricks infrastructure, CI/CD pipelines, and ML model deployment. The ideal candidate will be responsible for Databricks environment setup, networking, cluster management, access control, CI/CD automation, model deployment, asset bundle management, and monitoring. This role requires hands-on experience with DevOps best practices, infrastructure automation, and cloud-native architectures.
Required Skills & Experience
• 4 to 6 years of experience in DevOps with a strong focus on Azure Databricks.
• Hands-on experience with Azure networking, VNET integration, and firewall rules.
• Strong knowledge of Databricks cluster management, job scheduling, and optimization.
• Expertise in CI/CD pipeline development for Databricks and ML models using Azure DevOps, Terraform, or GitHub Actions.
• Experience with Databricks Asset Bundles (DAB) for packaging and deployment.
• Proficiency in RBAC, Unity Catalog, and workspace access control.
• Experience with Infrastructure as Code (IaC) tools like Terraform, ARM Templates, or Bicep.
• Strong scripting skills in Python, Bash, or PowerShell.
• Familiarity with monitoring tools (Azure Monitor, Prometheus, or Datadog).
Preferred Qualifications
• Databricks Certified Associate/Professional Administrator or equivalent certification.
• Experience with AWS or GCP Databricks in addition to Azure.
• Knowledge of Delta Live Tables (DLT), Databricks SQL, and MLflow.
• Exposure to Kubernetes (AKS, EKS, or GKE) for ML model deployment.
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