Databricks Platform Engineer

Booz Allen Hamilton•McLean, VA

3d•$77,600 - $176,000•Hybrid

About The Position

The Databricks Platform Engineer will design, build, and optimize the infrastructure and DataOps workflows that power meaningful outcomes for a high-impact Fortune 500 client program. This role will leverage Databricks, Infrastructure as Code such as Terraform and Terragrunt, Python, and SQL to scale and govern data environments. The engineer will collaborate within a robust, 70+ person cross-functional ecosystem spanning Data Engineering, AI, Data Science, Governance, and Reporting. As the platform strategy evolves, the engineer will play a key role in driving CI/CD automation, ensuring platform observability, assisting in managing cloud budgets, and securely integrating new AI capabilities.

Requirements

4+ years of experience with Python and SQL, and interacting with REST APIs and CLI tools to manage infrastructure.
3+ years of experience with Databricks platform architecture, administration, and distributed processing environments.
3+ years of experience implementing Infrastructure as Code (IaC) utilizing Terraform and Terragrunt.
Experience designing CI/CD pipelines and DataOps workflows utilizing GitHub and GitHub Actions.
Experience implementing platform observability, logging, and operational monitoring utilizing Splunk or Dynatrace.
Experience navigating enterprise governance, managing change requests, and supporting auditable applications.
Bachelor’s degree.

Nice To Haves

3+ years of experience configuring Databricks platform components, prioritizing Unity Catalog administration, workflows, and Delta Lake architecture.
Experience with Python, SQL, Scala, or Java.
Experience with scaling AI workloads, integrating new AI technologies, and supporting MLOps capabilities.
Experience working in an Agile development environment.
Ability to assist in implementing strict budget controls and optimizing compute costs across Databricks and cloud resources.
Ability to display a solution-oriented mindset.
Bachelor’s degree in a technical field such as Computer Science or Computer Engineering.

Responsibilities

Design, build, and optimize infrastructure and DataOps workflows.
Leverage Databricks, Infrastructure as Code (Terraform, Terragrunt), Python, and SQL to scale and govern data environments.
Collaborate within a cross-functional ecosystem including Data Engineering, AI, Data Science, Governance, and Reporting.
Drive CI/CD automation.
Ensure platform observability.
Assist in managing cloud budgets.
Securely integrate new AI capabilities.