Databricks Platform Engineer

Booz Allen Hamilton•McLean, VA

2d•Remote

About The Position

Databricks Platform Engineer The Opportunity: Do you want to work at the forefront of advanced technology and solve complex platform challenges? Data platforms enable pivotal insights when they are engineered for scalability, observability, and cost-efficiency. As a Databricks Platform Engineer, you will design, build, and optimize the infrastructure and DataOps workflows that power meaningful outcomes for a high-impact Fortune 500 client program. In this role, you will leverage Databricks, Infrastructure-as-Code ( IaC ) such as Terraform and Terragrunt, Python, and SQL to scale and govern our data environments. You will collaborate within a robust, 70+ person cross-functional ecosystem spanning data engineering, AI, data science, governance, and reporting. As our platform strategy evolves, you will play a key role in driving CI / CD automation, ensuring platform observability, assisting in managing cloud budget s, and securely integrating new AI capabilities. Due to the nature of work performed within this facility, U.S. citizen ship is required . Join us. The world can’t wait.

Requirements

3+ years of experience implementing IaC utilizing Terraform and Terragrunt
2+ years of experience with Python and SQL, and interacting with REST APIs and CLI tools to manage infrastructure
2+ years of experience with Databricks platform architecture, administration, and distributed processing environments
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 audit compliant applications
Bachelor’s degree
U.S. citizenship is required

Nice To Haves

5+ years of experience using Python, SQL, Scala, or Java
3+ years of experience configuring Databricks platform components, prioritizing Unity Catalog administration, workflows, and Delta Lake architecture
Experience 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 CS, Computer Engineering, or a related technical field

Responsibilities

Design, build, and optimize the infrastructure and DataOps workflows that power meaningful outcomes for a high-impact Fortune 500 client program.
Leverage Databricks, Infrastructure-as-Code (IaC) such as Terraform and Terragrunt, Python, and SQL to scale and govern data environments.
Collaborate within a robust, 70+ person cross-functional ecosystem spanning 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.