Splunk IT Data Engineer, Staff

Qualcomm is seeking a Staff-level Splunk IT Data Engineer to join their IT Operations Management and Analytics (ITOMA) team. This strategic position involves managing global Splunk and Cribl infrastructure, making it ideal for experienced data engineers passionate about large-scale data systems. The role combines technical leadership with hands-on engineering, requiring expertise in data pipeline development, system integration, and machine learning implementation.

The position offers an opportunity to work with cutting-edge technology at a global semiconductor leader. You'll be responsible for designing and implementing solutions that impact Qualcomm's entire data infrastructure, working with multiple stakeholders across IT, Security, and Engineering teams. The role requires both technical excellence and strong communication skills, as you'll be leading technical conversations and mentoring junior engineers.

Key technical requirements include deep expertise in Splunk/Cribl (5+ years), strong programming skills in Python/Perl, and experience with cloud platforms (AWS/Azure). You'll be working on complex data challenges, requiring innovative problem-solving and architectural thinking. The position offers growth opportunities through interaction with senior leadership and involvement in strategic planning.

This role would be an excellent fit for a senior data engineer looking to step into a staff-level position where they can have broader impact. You'll be working at Qualcomm's Santa Clara office, contributing to critical data infrastructure that supports one of the world's leading technology companies. The position combines technical depth with leadership opportunities, making it an attractive next step for experienced data engineers looking to advance their careers.