Databricks Platform Engineer

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 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:  

 

• 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 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 a technical field such as Computer Science or Computer Engineering

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.