IT Technical Lead

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$168,400–$252,600 / yr
Posted
47 days ago
Closes
Oct 17, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $210k
$130k most similar roles pay here $266k

This role pays more than 71% of similar roles. Most pay $156,187–$211,200 — the shaded band above. At the midpoint, this role pays about $210k versus about $184k for comparable roles.

Based on 238 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 558 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · IT Technical Lead

The Technical Lead role at Qualcomm is a senior position within the Enterprise Data Transformation program, focusing on driving the development of a modern enterprise-wide lake house architecture to support self-service data capabilities. This visionary leader will define and execute the strategic roadmap for data solutions, including BI, analytics, and AI-driven automation, while establishing Centers of Excellence for governed self-service analytics. Key responsibilities include designing Databricks-native applications, developing traditional machine learning models, and ensuring robust governance and security practices. The ideal candidate has extensive experience in data management, enterprise data modeling, and a deep understanding of Lakehouse architecture. Proficiency in Python, Java, SQL, and NoSQL databases is essential, along with strong leadership and collaboration skills to work effectively across cross-functional teams.

What you'll do

  • Define and lead the vision and strategy for data solutions to enable AI-driven business insights.
  • Establish and lead BI and Analytics Centers of Excellence for governed self-service analytics.
  • Design and implement agentic AI workflows integrating enterprise data and ML models.
  • Develop Databricks-native applications, ensuring they meet performance and security standards.
  • Design and deploy traditional machine learning models on large-scale datasets.
  • Enforce data governance policies using tools like Unity Catalog or AWS Lake Formation.
  • Serve as a technical authority, influencing architectural decisions across teams.

What we're looking for

  • 8+ years of IT-related work experience or equivalent combination of education and experience
  • Strong hands-on experience with Databricks application development and data governance tools
  • Proven expertise in designing and implementing enterprise-level data models and lakehouse architecture
  • Extensive background in traditional machine learning, agentic AI workflows, and BI analytics solutions
  • Excellent leadership and communication skills for collaborating across technical and business teams

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