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 audit compliant applications   Bachelor’s degree   Nice If You Have:    10+ 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 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 Computer Science , 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 $99,000.00 to $225,000.00 (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