Senior Data Platform Engineer - Databricks & Cloud

Qualcomm; San Diego (CA); On-site; USD 158,400 - 237,600; Full time

Job summary

Qualcomm in San Diego is seeking a Data Platform Engineer to lead the design and implementation of a modern data platform. This senior role emphasizes system design, platform innovation, and hands-on execution.

The successful candidate will work closely with various teams, mentor engineers, and be responsible for the platform's reliability, security, and cost management. This is a full-time onsite role requiring expertise in Databricks and AWS.

Qualifications

• 7+ years of IT-related work experience required.
• 5+ years of programming experience is necessary.
• Strong experience in building and operating large-scale cloud platforms.

Responsibilities

• Design and build scalable, distributed data platform systems.
• Own Databricks workspace architecture and governance.
• Build and support end-to-end data pipelines.

Skills

Programming languages (Java, Python)

SQL or NoSQL Databases

Data Structures and algorithms

CI/CD pipeline development

Cloud security best practices

Communication skills

Education

Bachelor’s degree in Computer Engineering, Computer Science, Information Systems

9+ years of IT-related work experience

Tools

Databricks

AWS

Terraform/Terramate

Amazon EKS

Job description

Qualcomm in San Diego is seeking a Data Platform Engineer to lead the design and implementation of a modern data platform. This senior role emphasizes system design, platform innovation, and hands-on execution.

The successful candidate will work closely with various teams, mentor engineers, and be responsible for the platform's reliability, security, and cost management. This is a full-time onsite role requiring expertise in Databricks and AWS.