AWS Databricks Platform Architect - Onsite (4 days/wk)

Galent; Raritan (NJ); On-site; USD 150,000 - 180,000; Full time

Job summary

Galent seeks an AWS Databricks Platform Support Architect to lead the administration, support, governance, and optimization of enterprise Databricks platforms on AWS from our Raritan, NJ area office. You will own platform reliability, security, automation, performance, and production support across environments, coordinating with Data Engineering, Cloud, and Security teams.

Responsibilities include managing workspaces, clusters, jobs, Unity Catalog, and access controls, providing L2/L3 incident

Qualifications

• 10+ years of IT experience with at least 4+ years of Databricks administration and support.
• Hands-on experience with AWS cloud platforms and enterprise production support environments.
• Strong troubleshooting, stakeholder management, and leadership skills.

Responsibilities

• Architect and support AWS Databricks environments across Dev, QA, UAT, and Production.
• Manage Databricks workspaces, clusters, jobs, workflows, Unity Catalog, and access controls.
• Provide L2/L3 production support, incident management, troubleshooting, and root cause analysis.
• Implement governance, security, IAM, RBAC, monitoring, and compliance controls.
• Optimize platform performance, scalability, and cloud costs.
• Automate deployments using Terraform, CI/CD, and Infrastructure as Code (IaC).
• Collaborate with Data Engineering, Cloud, and Security teams on platform enhancements.

Skills

Databricks Workspace Administration

Unity Catalog

Jobs & Workflows

AWS Services: S3, IAM, EC2, Lambda,...

PySpark

SQL

Data Lake / Lakehouse Architecture

Terraform

GitHub

Jenkins

CI/CD

Python

Shell Scripting

Tools

Terraform

GitHub

Jenkins

CI/CD

Job description

Galent seeks an AWS Databricks Platform Support Architect to lead the administration, support, governance, and optimization of enterprise Databricks platforms on AWS from our Raritan, NJ area office. You will own platform reliability, security, automation, performance, and production support across environments, coordinating with Data Engineering, Cloud, and Security teams.

Responsibilities include managing workspaces, clusters, jobs, Unity Catalog, and access controls, providing L2/L3 incident