Databricks Platform Engineer - Booz Allen Hamilton

OpenTalent; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

OpenTalent in McLean is seeking a Databricks Platform Engineer to design, build, and optimize the infrastructure and DataOps workflows powering a high-impact Fortune 500 client program.

You will leverage Databricks, Terraform/Terragrunt, Python, and SQL to scale data environments, implement CI/CD, observability, budget governance, and secure AI integrations within a 70+ person cross-functional team. U.S. citizenship is required.

Qualifications

• 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.
• 2+ 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

Responsibilities

• Design, build, and optimize data infrastructure and DataOps workflows for a Fortune 500 client program.
• Scale and govern data environments with Databricks, IaC, and cloud resources.
• Drive CI/CD automation, platform observability, and cost governance within a cross-functional team.

Skills

Python

SQL

REST APIs

CLI Tools

Databricks

Terraform

Terragrunt

GitHub Actions

Observability

Dynatrace

Splunk

Governance

Education

Bachelor's degree

Tools

GitHub

Terraform

Terragrunt

Job description

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 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 budgets, and securely integrating new AI capabilities. Due to the nature of work performed within this facility, U.S. citizenship is required.

Join us. The world can't wait.

You Have:

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

2+ years of experience implementing Infrastructure as Code ( IaC ) utilizing Terraform and Terragrund

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 If You Have:

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 Computer Science , Computer Engineering, or a related technical field

Compensation