This Databricks Administrator role is responsible for the administration, configuration, optimization, and support of the company's Databricks platform. The administrator will collaborate with data engineers, data scientists, analytics teams, and IT security to ensure a secure, reliable, and high-performing environment for data processing, machine learning, and analytics workloads.
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 identity and access management (IAM) roles, groups, and permissions in Databricks
Implement and enforce security best practices, including encryption, network controls, and data access policies
Collaborate with security and compliance teams to ensure adherence to organizational and regulatory requirements
Support implementation of data governance standards (e.g., Unity Catalog, catalogs, schemas, tables, and permissions)
Optimize cluster configurations, autoscaling, and job scheduling to balance performance and cost
Analyze usage metrics and costs; implement strategies for cost control and chargeback/showback where applicable
Recommend and implement platform tuning and optimization strategies for large-scale data workloads
Partner with data engineers, analysts, and data scientists to understand workload requirements and recommend best practices in Databricks usage
Provide Tier 2/3 support for Databricks-related incidents and service requests
Develop and maintain platform documentation, runbooks, and standard operating procedures
Conduct user onboarding, training, and knowledge-sharing sessions on Databricks capabilities and best practices
Automate workspace and cluster provisioning, configuration, and policy enforcement using Infrastructure as Code (e.g., Terraform, ARM/Bicep, CloudFormation)
Integrate Databricks with CI/CD pipelines for code deployment and environment management
Support version control best practices for notebooks, jobs, and configuration
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
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)
Millions of jobs, with real people getting hired every day
200,000+
New jobs added daily
7,000,000+
Verified job listings
1,000,000+
Tailored applications submitted
Strong understanding of Databricks workspaces, clusters, jobs, pools, and notebooks
Strong understanding of cloud storage (e.g., Azure Data Lake Storage, S3, GCS) and networking concepts
Strong understanding of identity and access management in the relevant cloud provider (Azure AD / IAM / etc.)
Experience with scripting and automation (e.g., Python, PowerShell, Bash)
Familiarity with Spark concepts (clusters, executors, jobs, partitions) and performance considerations
Demonstrated experience monitoring and troubleshooting platform performance and reliability issues
Strong problem-solving and analytical skills
Ability to communicate complex technical concepts to both technical and non-technical audiences
Customer-focused mindset with a commitment to reliability and service quality
Ability to work independently and collaboratively in a fast-paced, agile environment
Experience with Unity Catalog and fine-grained data access controls
Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, etc.)
Experience with Infrastructure as Code (Terraform strongly preferred)
Experience with log aggregation and monitoring tools (Azure Monitor, CloudWatch, Datadog, Splunk, etc.)
Knowledge of Delta Lake, structured streaming, and Data Lakehouse architectures
Experience in enterprise environments with strong security and compliance needs
Benefits
AI-powered career tool that identifies career steps and learning opportunities
Internal mobility team focused on helping you achieve your career goals
Comprehensive benefits and wellness packages
401K with company match
Paid time off
Award-winning culture of innovation and a military-friendly workplace
Variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan
Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
New employees typically receive 15 days of paid leave per calendar year for vacations, personal business, and illness, and an additional 10 paid holidays per year
Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees
Short and long-term disability benefits
Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
Important Details
Schedule: 40 scheduled weekly hours
Travel: Less than 10%
Residency requirement: The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last five years. U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years.
About the Company
GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Its 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
GDIT is a global technology and professional services company that delivers solutions, technology and mission services to every major agency across the U.S.
