Remote Databricks Platform Engineer – Automation & CI/CD

Embedded Shishya; United States; Remote; USD 128,000 - 173,000; Full time

Job summary

General Dynamics Information Technology (GDIT) is seeking a Databricks Administrator to join our remote US-based team. You will administer, configure, and optimize our Databricks platform to support data processing, ML, and analytics workloads.

You will collaborate with data engineers, scientists, and IT security to ensure a secure, reliable, and high-performing environment while applying best practices for cost control and platform automation.

Qualifications

• 8+ years of experience administering cloud-based data platforms or big data environments.
• Hands-on administration experience with Databricks (Azure Databricks / AWS Databricks / GCP Databricks – specify as needed).
• Strong understanding of: Databricks workspaces, clusters, jobs, pools, and notebooks; Cloud storage and IAM concepts.

Responsibilities

• Administer and maintain Databricks workspaces across development, test, and production environments.
• Configure and manage clusters, pools, jobs, and workflows to support ETL, streaming, and ML workloads.
• Monitor platform health, capacity, and performance; proactively identify and resolve issues.
• Manage Databricks runtime versions, libraries, and integrations with cloud storage and data services.
• Implement and maintain backup, recovery, and business continuity procedures for Databricks assets.
• Configure and maintain IAM roles, groups, and permissions in Databricks; enforce security practices.

Skills

Analytics

Big Data

Data Lake

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Azure Databricks

AWS Databricks

GCP Databricks

Job description

General Dynamics Information Technology (GDIT) is seeking a Databricks Administrator to join our remote US-based team. You will administer, configure, and optimize our Databricks platform to support data processing, ML, and analytics workloads.

You will collaborate with data engineers, scientists, and IT security to ensure a secure, reliable, and high-performing environment while applying best practices for cost control and platform automation.