ML Administrator

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process. ML Administrator Full Time Professional Tampa, FL, US 6 days ago Requisition ID: 1041 Position Summary The 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 Experience The 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. #J-18808-Ljbffr