Databricks Platform Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
45 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $127k
$61k $235k
below market most similar roles pay here above market

This role pays less than 80% of similar roles. Most pay $139,486–$192,050 — the blue band above. At the midpoint, this role pays about $127k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Databricks Platform Engineer

As a Databricks Platform Engineer, you will join a cross-functional ecosystem of over seventy people to design, build, and optimize infrastructure and DataOps workflows for a high-impact Fortune 500 client program. Your daily responsibilities include scaling and governing data environments, driving CI/CD automation, ensuring platform observability, managing cloud budgets, and securely integrating new AI capabilities. You will utilize a technical stack including Databricks, Python, SQL, Terraform, Terragrunt, and GitHub Actions. The role requires expertise in distributed processing environments, REST APIs, and CLI tools, alongside experience with Splunk or Dynatrace for operational monitoring. You will solve complex platform challenges related to scalability and cost-efficiency while navigating enterprise governance, managing change requests, and supporting auditable applications within a sophisticated data architecture.

What you'll do

  • Design, build, and optimize Databricks infrastructure and DataOps workflows for scalability and cost-efficiency.
  • Manage and govern data environments using Terraform, Terragrunt, Python, and SQL.
  • Design and maintain CI/CD pipelines and DataOps workflows using GitHub and GitHub Actions.
  • Implement platform observability, logging, and operational monitoring using tools like Splunk or Dynatrace.
  • Administer Databricks platform components, including Unity Catalog, workflows, and Delta Lake architecture.
  • Integrate new AI capabilities and scale AI workloads to support MLOps requirements.
  • Manage cloud budgets and optimize compute costs across Databricks and other cloud resources.
  • Navigate enterprise governance by managing change requests and supporting auditable applications.

What we're looking for

  • U.S. citizenship is required.
  • 4+ years of experience with Python and SQL, 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.

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