Senior Data Platform Engineer — Databricks Lakehouse & Cloud Infra

QUALCOMM, Inc.; San Diego (CA); Hybrid; USD 162,000 - 242,000; Full time

Job summary

Qualcomm Incorporated is seeking a senior Data Platform Engineer to design, build, and operate a modern data platform with Databricks Lakehouse at its core. The role requires hands-on execution, architecture leadership, and mentoring across teams in San Diego, CA or Boulder, CO.

You will own Databricks workspace governance, implement IaC, build end-to-end pipelines, and drive reliability, security, and cost optimization.

Qualifications

• Bachelor's degree in a computer-related field or 9+ years IT experience in lieu of degree.
• 5+ years of programming experience (e.g., Java, Python).
• 3+ years of experience with SQL or NoSQL databases.
• 3+ years of experience with data structures and algorithms.

Responsibilities

• Design and build scalable, distributed data platform systems.
• Own Databricks workspace architecture, governance, and lifecycle management.
• Implement infrastructure as code using Terraform/Tulram? 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.
• Lead incident response, on-call rotations, and blameless post-mortems.
• Implement strong security, compliance, and governance controls.
• Mentor engineers and influence platform standards and best practices.

Skills

Programming

SQL/NoSQL

Data Structures

Python

Education

Bachelor's degree in Computer Science

Related IT field experience

Tools

Terraform

Databricks

Kubernetes

GitHub Actions

Job description

Qualcomm Incorporated is seeking a senior Data Platform Engineer to design, build, and operate a modern data platform with Databricks Lakehouse at its core. The role requires hands-on execution, architecture leadership, and mentoring across teams in San Diego, CA or Boulder, CO.

You will own Databricks workspace governance, implement IaC, build end-to-end pipelines, and drive reliability, security, and cost optimization.