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# Databricks Platform Engineer (Azure DevOps)

- **Company:** Diverse Lynx LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $100,000 - $120,000
- **Contract:** Permanent contract
- **Skills:** Audit Trail, Automation of Tests, Microsoft Azure, Bash Shell, Continuous Integration, Data Validation, Data Governance, DevOps, Digital Architecture, Identity and Access Management, Python (Programming Language), Role-Based Access Control, Scripting, Computer Networking Systems, Cloud Platform System, Apache Spark, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Terraform, Docker, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.thejobnetwork.com/job/2943c1d8-6c5d-4893-9ae4-29fc17aa86d6/databricks-platform-engineer-azure-devops

## About the Role

* 7 years of experience in platform engineering, infrastructure engineering, or DevOps
 * 2 years of hands-on experience with Databricks infrastructure setup (or Apache Spark/Delta Lake environments)
 * 3 years of experience with Azure cloud services and infrastructure
 * 2 years of experience with Azure DevOps (Pipelines, Repos, Artifacts)
 * Strong proficiency in Infrastructure-as-Code tools (Terraform Enterprise)
 * Solid understanding of CI/CD principles and implementation
 * Experience with Linux/Unix environments and scripting (Bash, Python, or similar)
 * Familiarity with containerization technologies (Docker, Kubernetes)

 * Strong knowledge of networking, security, and identity management in cloud environments

## Description

Platform & Infrastructure

 * Design, deploy, and manage Databricks workspaces across multiple Azure subscriptions and environments (dev, staging, production)
 * Implement Infrastructure-as-Code (IaC) solutions using Terraform for Databricks resources
 * Establish and maintain security best practices, including network isolation, RBAC, and data governance
 * Configure and Eligible to workimize cluster management, including auto-scaling policies and cost Eligible to workimization strategies
 * Manage Databricks workspace connectivity and networking (VNets, private endpoints, firewalls)

DevOps & Automation

 * Build CI/CD pipelines using Azure DevOps for deploying Databricks notebooks, jobs, and configurations
 * Implement automated testing and validation of data pipelines
 * Create self-service deployment frameworks and templates for development teams
 * Establish monitoring, alerting, and logging solutions for Databricks environments
 * Automate workspace provisioning and deprovisioning processes

Collaboration & Enablement

 * Partner with data engineers and analysts to understand platform requirements
 * Provide technical guidance and documentation for platform usage
 * Develop runbooks and operational procedures for incident response
 * Mentor team members on Databricks best practices and Azure DevOps tools

Governance & Compliance

 * Implement access controls and audit logging across Databricks workspaces
 * Ensure compliance with organizational security and data governance policies
 * Monitor and manage workspace usage, costs, and resource utilization
 * Document architecture decisions and maintain platform documentation