This role pays less than
91%
of similar roles. Most pay
$135,675–$211,200
— the shaded band above.
At the midpoint, this role pays about
$102k
versus about
$173k
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
793 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 768 roles with salary data.
As a Databricks Platform Engineer, you will join a cross-functional team of over seventy people to design, build, and optimize infrastructure and DataOps workflows for a high-impact Fortune 500 client program. You will be responsible for scaling and governing data environments while driving CI/CD automation, ensuring platform observability, managing cloud budgets, and integrating new AI capabilities. Your daily work involves utilizing Databricks architecture, Infrastructure-as-Code tools like Terraform and Terragrunt, Python, SQL, and REST APIs to manage distributed processing environments. You will also build pipelines using GitHub Actions and implement monitoring via Splunk or Dynatrace. The role focuses on solving complex platform challenges related to scalability, cost-efficiency, and governance within a large-scale data ecosystem. Key technical components include Unity Catalog administration, Delta Lake architecture, and supporting MLOps capabilities for advanced AI workloads.
5+ years of experience using Python, SQL, Scala, or Java (preferred).
3+ years of experience configuring Databricks platform components, prioritizing Unity Catalog administration, workflows, and Delta Lake architecture (preferred).
Experience scaling AI workloads, integrating new AI technologies, and supporting MLOps capabilities (preferred).
Bachelor's degree in CS, Computer Engineering, or a related technical field (preferred).
Databricks
Terraform
Azure
SQL
Python
Unity Catalog
Infrastructure as Code
CI/CD
Data Engineering
Snowflake
Azure Data Lake
Data Governance
Data Modeling
Cloud Infrastructure
Azure Databricks
Python
PySpark
SQL
Terraform
Azure Data Lake Storage Gen 2
Azure Data Explorer
Azure Event Hubs
Spark
Data Lakehouse
Medallion Architecture
Microsoft EntraID
SQL Server
Power BI
Infrastructure as Code
Agile