Position SummaryThe ML Administrator supports mission-critical objectives under the referenced work order by supporting Databricks platform administration and enterprise data architecture for DoD data-driven projects. This role manages knowledge graph metadata integration, data governance, and cataloging in Databricks Unity Catalog.
This future opportunity is contingent upon award.
Job Description- The ML Administrator is responsible for managing Databricks platform administration including workspace management, cluster optimization, and Unity Catalog integration for secure data governance.
- The position requires developing ETL pipelines, Delta Lake architecture, and Data Lakehouse optimization for DoD analytics and mission-critical data workflows.
- Administrators will implement SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines.
- The role includes managing knowledge graph metadata integration, data governance, and cataloging.
Required Qualifications and ExperienceThe contractor shall provide personnel who meet one of the following requirements:
- Master's degree or higher in Computer Science, Information Technology, Systems Engineering, Data Science, or a closely related field; or
- A minimum of eleven (11) years of professional experience in enterprise data architecture, Databricks administration, and cloud-based data platforms.
Candidates must have demonstrated experience in the following areas:
- Databricks platform administration including workspace configuration, Unity Catalog, and cluster performance tuning.
- Data pipeline development (ETL/ELT) and Delta Lake optimization.
- AI/ML workflow integration.
- SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines for automated deployment and governance.
- Cloud security, role-based access control (RBAC), and compliance with DoD data policies across AWS, Azure, and GCP.
Required Skills and Competencies- Expertise in Databricks platform administration, Unity Catalog, and cluster optimization.
- Working knowledge of ETL/ELT, Delta Lake, and AI/ML workflow integration.
- Proficiency in IAM, RBAC, Python, SQL/NoSQL, Apache Spark, and Terraform.
- Strong understanding of cloud-native data services for large-scale data processing and analytics.
- Ability to implement SysEngOps, DevSecOps, and CI/CD pipelines.
Education- Master's degree or higher in a relevant field, or an equivalent combination of education and extensive experience.
- Platform-specific Databricks certifications (Preferred, Not Required)
- Cloud security certifications (Preferred, Not Required)
Clearance Requirement- The ability to obtain and maintain the required clearance as specified by the program.
