Databricks Administrator

Type of Requisition:
Pipeline

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other

Required:

MBI (T2)

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:

Analytics, Big Data, Data Lake

Certifications:

None

Experience:

8 + years of related experience

US Citizenship

Required:

No

Location:

Remote

Scheduled Weekly

Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:
Remote

Work Location:

Any Location / Remote

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The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

• Administer and maintain Databricks work spaces 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, Cloud Formation).
• Integrate Databricks with CI/CD pipelines for code deployment and environment management.
• Support version control best practices for notebooks, jobs, and configuration.

Bring your expertise and drive for innovation to GDIT.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

• If the candidate does not possess a relevant four-year degree, an additional four years of relevant work experience will be required.

• Databricks certification(s) (e.g., Databricks Certified Data Engineer Associate/Professional, Lakehouse Fundamentals, Administrator).
• Experience with Unity Catalog and fine-grained data access controls.
• Experience with CI/CD tools (Azure Dev Ops, Git Hub Actions, Jenkins, etc.).
• Infrastructure as Code (Terraform strongly preferred).
• Log aggregation and monitoring tools (Azure Monitor, Cloud Watch, Datadog, Splunk, etc.).
• Knowledge of Delta Lake, structured streaming,…