Quick Overview
Job Description
Hiring : Databricks Platform Manager / Engineer - AWS
Location: New York / Hybrid
Experience: 5-10 years overall | 3-5+ years hands-on Databricks platform experience
Environment: AWS | Databricks | Terraform | CI/CD
We’re looking for a Databricks Platform Manager / Engineer who knows how to build, secure, automate, and keep an enterprise Databricks platform running smoothly in production.
This is platform engineering - not a data engineering or analytics development role.
What you’ll be responsible for:
Design, deploy, administer, and support Databricks workspaces across Dev, Test, UAT & Production
Manage Databricks Runtime upgrades, workspace standards, clusters, instance pools & cluster policies
Administer Unity Catalog, RBAC, IAM, SSO, Service Principals, PATs & Secret Scopes
Build and maintain secure, scalable AWS infrastructure and networking
Implement Terraform / Infrastructure as Code and CI/CD automation
Integrate Git and support automated deployment of notebooks, workflows and infrastructure
Monitor platform health, performance, jobs, clusters and production incidents
Troubleshoot complex production issues and perform root-cause analysis
Drive Databricks and AWS cost optimization and resource utilization
Maintain audit logging, security controls, governance and compliance standards
We’re looking for experience with:
Databricks Platform Administration
AWS - IAM, VPC, S3, EC2, KMS, CloudWatch
Terraform / IaC
Git & CI/CD - Azure DevOps, GitHub Actions or Jenkins
Unity Catalog & Databricks governance
Cluster policies, instance pools & job clusters
Cloud networking, security, scalability & HA
Monitoring, incident management & production support
Performance and cost optimization
A strong platform/cloud engineer who can take ownership of the operational health, security, governance, automation, scalability and cost efficiency of an enterprise Databricks environment while working closely with Data Engineering, DevOps, Security and Analytics teams.
Interested? Send your updated resume to or message me directly.
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