ML Administrator

Booz Allen Hamilton•Doral, FL

5d•$77,500 - $176,000•Remote

About The Position

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

11+ years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms
Experience in Databricks platform administration, including workspace management, cluster optimization, and Unity Catalog integration for secure data governance
Experience in ETL pipeline development, Delta Lake architecture, and data lakehouse optimization for DoD analytics and mission-critical data workflows
Experience in SysEngOps, DevSecOps, version control systems such as Git, and CI/CD pipelines to streamline Databricks development and deployment
Knowledge of identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP
Ability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects

Nice To Haves

Experience in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytic
Experience with Cloud security, role-based access control (RBAC), and compliance with DoD data policies across AWS, Azure, and GCP

Responsibilities

Manage the assessment, design, building, and maintenance of scalable platforms for clients.
Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Support Databricks platform administration and enterprise data architecture for DoD data-driven projects.