Machine Learning Administrator

Machine Learning Administrator

Base-2 Solutions is seeking a Machine Learning Administrator to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. This role involves administration of the Databricks platform and enterprise data architecture for DoD data-driven projects, focusing on secure data governance, data pipeline development, and cloud security across multiple cloud providers.

Essential Duties and Responsibilities

• Support Databricks platform administration including workspace management, cluster optimization, and Unity Catalog integration for secure data governance.
• Develop ETL pipelines, optimize Delta Lake architecture, and enhance data lakehouse performance for DoD analytics and mission-critical data workflows.
• Perform SysEngOps, DevSecOps, version control (Git), and CI/CD pipeline management to streamline Databricks development and deployment.
• Implement identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP.
• Utilize Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.

Required Qualifications

• Master's degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field -OR- minimum of 11 years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
• Strong background in Databricks platform administration including workspace configuration, Unity Catalog, cluster performance tuning, and cloud integration.
• Experience in data pipeline development (ETL/ELT), Delta Lake optimization, and AI/ML workflow integration.
• Proficiency in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines for automated deployment and governance.
• Knowledge of cloud security, role-based access control (RBAC), and compliance with DoD data policies across AWS, Azure, and GCP.

Preferred Qualifications

• Not specified.

Required Education and Experience Equivalency

• Master's degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field — Not specified..
• No degree — Minimum of 11 years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.

Required Certifications

• None specified.

Required Security Clearance

• No Security Clearance Required