Senior Databricks Platform Engineer

Type of Requisition:

Pipeline Clearance Level Must Currently Possess:

None Clearance Level Must Be Able to Obtain:

None Public Trust/Other Required:

None Job Family:

Data Science and Data Engineering Job Qualifications:

Требования

• Databricks Lakeflow, Databricks Platform, Data Engineering, Data Ingestion Certifications:
• None Experience:
• + years of related experience US Citizenship Required:
• No Job Description:
• Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.
• GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Data Platform Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program.
• The successful candidate will be responsible for designing, building, administrating, optimizing, configuring, maintaining, and governing the organization's Databricks Lakehouse Platform , enabling scalable data engineering, analytics, and governance capabilities in support of the CMM Data Modernization & Governance program.
• The Data Platform Engineer will execute the following responsibilities:
• Design, configure, and maintain the enterprise Databricks Lakehouse Platform, including workspaces, Unity Catalog, and scalable data architectures.
• Administer and optimize Databricks compute, clusters, SQL warehouses, serverless capabilities, and workload management for performance, reliability, and cost efficiency.
• Develop and optimize data pipelines, ETL/ELT processes, and ingestion frameworks using Apache Spark, Delta Lake, Delta Live Tables, and Databricks Workflows.
• Create, maintain, and govern Unity Catalog catalogs, schemas, tables, roles/groups, and RBAC/access-control lists, aligned with AO security, IAM, and compliance policies.
• Implement and manage Unity Catalog, RBAC, and data governance controls.
• Automate platform provisioning, configuration, and deployments using Terraform, Python, SQL, Databricks Asset Bundles, and Databricks APIs.
• Implement platform monitoring, logging, alerting, observability, capacity planning, and performance optimization.