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 (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.