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 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:
- 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
Nice If You Have:
- 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
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 $62,000.00 to $141,000.00 (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, whether it occurs in person or virtually.
- 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.