ML Administrator

Responsibilities

• Skilled in Databricks platform administration, including workspace management, cluster optimization, and Unity Catalog integration for secure data governance.
• Proficient in ETL pipeline development, Delta Lake architecture, and data Lakehouse optimization for DoD analytics and mission critical data workflows.
• Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Databricks development and deployment.
• Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP.
• Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.

Requirements

• A Master's degree or higher in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field; or at least 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.
• Data pipeline development (ETL/ELT), Delta Lake optimization, and 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.