Qualcomm is seeking a Data Platform Engineer to design, build, and operate a modern data platform using Databricks Lakehouse. This hands-on role requires expertise in system design, platform innovation, and execution, with a focus on improving reliability and influencing architectural direction. The engineer will work closely with data scientists, analysts, and application teams while mentoring other engineers. This position requires full-time onsite work in either San Diego, CA or Boulder, CO.

• 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field, or 9+ years of IT-related work experience without a Bachelor’s degree.
• 5+ years of work experience with programming languages such as Java or Python.
• 3+ years of work experience with SQL or NoSQL databases.
• 3+ years of work experience with data structures and algorithms.

• Design and build scalable, distributed data platform systems.
• Own Databricks workspace architecture, governance, and lifecycle management.
• Implement infrastructure as code using Terraform/Terramate.
• Build and support end-to-end data pipelines from ingestion to analytics and ML.
• Develop and maintain CI/CD pipelines for infrastructure, data pipelines, notebooks, SQL, and ML artifacts.
• Operate and optimize Amazon EKS clusters supporting data workloads.
• Define and monitor SLIs/SLOs for platform reliability and data quality.
• Drive innovation and continuous improvement across platform architecture and tooling.
• Lead incident response, on-call rotations, and blameless post-mortems.
• Implement strong security, compliance, and governance controls.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.