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About the role
- Manage machine learning model versioning, lineage tracking, and compliance with governance policies, ensuring reproducibility and secure deployment.
- Implement and monitor ML infrastructure, optimizing compute resource allocation across cloud and on-premises environments.
- Validation of AI/ML pipelines, ensuring models remain accurate, explainable, and aligned with operational objectives.
- Manage ML Model Governance & Deployment Reporting including summarizing model lifecycle management, performance tracking, and security compliance.
Requirements
- 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.
- Databricks platform administration, including workspace management, workspace configuration, cluster optimization, cluster performance tuning, and Unity Catalog integration for secure data governance.
- ETL/ELT pipeline development, Delta Lake architecture and optimization, and data lakehouse optimization for DoD analytics and mission-critical data workflows.
- AI/ML workflow integration within Databricks environments.
- SysEngOps and DevSecOps practices with version control systems (Git) and CI/CD pipelines for streamlined Databricks development, automated deployment, and governance.
- Identity and access management (IAM), role-based access control (RBAC), cloud security best practices, and compliance with DoD data policies across AWS, Azure, and GCP.
- Hands-on expertise in Python, SQL/NoSQL databases, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.
- Knowledge and capability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects and mission-critical workflows.
Benefits
- Remote Work 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords
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Hard Skills & Tools
machine learningmodel versioningAI/ML pipelinesETL/ELT pipeline developmentDelta Lake architecturePythonSQLApache SparkDatabricks SQLTerraform
Certifications
Master's degreePh.D.