Hiring: ML Administrator Company: Prescient Edge Location: Doral, FL Job Posted Time: 2026-09-15 13:13:46 Employment Type: Contract Target Skills & Keywords : AWS, Azure, CI/CD, Cloud Native, Data Lakehouse, Data Pipeline, Databricks, Delta Lake, ELT, ETL, GCP, Git, IAM, Machine Learning, Python, RBAC, SQL, Security Clearance, Spark, Systems Engineering, Terraform About the job Experience: •Minimum of 11+ years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms. •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. Required Skills: •Prescient Edge is seeking a ML Administrator to support a Federal Government client. •Please note that the availability of this position is contingent upon contract award. •ML Administrator (Manage knowledge graph metadata integration, data governance, and cataloging in Databricks Unity Catalog.) •Proposed personnel possess the knowledge and capability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects: 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. •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. •Shall manage machine learning model versioning, lineage tracking, and compliance with governance policies, ensuring reproducibility and secure deployment. 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. •Must be a US citizen and able to obtain a clearance. Compensation: •A competitive salary with performance bonus opportunities Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!