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# Databricks Platform Manager/Engineer

- **Company:** PRIVATE INNOVATION LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Audit Trail, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, DevOps, Github, Identity and Access Management, Role-Based Access Control, Datadog, Apache Spark, Amazon Virtual Private Cloud (VPC), Git, Data Lakes, Deployment Automation, Cloudwatch, Terraform, Splunk, Jenkins, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.dice.com/job-detail/4cbd5b2b-a968-407e-a0a6-1b7c90a27387

## About the Role

* Strong hands-on Databricks Platform Administration
 * Databricks Workspace Management
 * Cluster Management & Cluster Policies
 * Unity Catalog
 * Databricks Runtime
 * Service Principals, Secrets & PATs
 * AWS IAM
 * AWS S3, VPC, EC2, KMS, Security Groups
 * Terraform / Infrastructure as Code
 * Git and CI/CD
 * Azure DevOps, GitHub Actions, or Jenkins
 * Platform Monitoring & Troubleshooting
 * Production Support
 * Cost Optimization

Preferred

 * Experience supporting enterprise Databricks environments with 100+ users
 * Experience with AWS PrivateLink / VPC Endpoints
 * AWS Organizations / Control Tower
 * CloudWatch, Datadog, or Splunk
 * Delta Lake / Lakehouse architecture
 * Exposure to Spark internals
 * Experience supporting Databricks AI/ML workloads
 * Databricks or AWS certifications

## Description

We are looking for a Databricks Platform Manager/Engineer with strong hands-on experience administering enterprise Databricks environments on AWS. The role focuses on platform administration, workspace and cluster management, Unity Catalog, AWS IAM, security/governance, Terraform/IaC, CI/CD, monitoring, and cost optimization. Ideal candidates will have 3-5+ years of production Databricks platform administration experience and a strong AWS/cloud infrastructure background.
Key Responsibilities

 * Administer and support Databricks workspaces across Dev, Test, UAT, and Production.
 * Manage clusters, cluster policies, instance pools, job clusters, and Databricks Runtime upgrades.
 * Administer Unity Catalog, catalogs, schemas, permissions, and RBAC.
 * Manage AWS IAM integration, SSO, service principals, secrets, and access controls.
 * Implement and support Terraform/IaC and CI/CD for Databricks platform deployments.
 * Manage Git/Databricks Repos and automated deployment processes.
 * Monitor platform health, performance, jobs, clusters, and production environments.
 * Troubleshoot platform issues, incidents, and performance problems.
 * Support audit logging, security, governance, and compliance requirements.
 * Identify opportunities for Databricks and AWS cost optimization.
 * Partner with Data Engineering, DevOps, Cloud, Security, and Infrastructure teams.


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