Databricks Lead Staff IT Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CABoulder, CO
Salary
$119,600–$179,400 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Mar 16, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k
This role $150k
$107k most similar roles pay here $238k

This role pays less than 80% of similar roles. Most pay $162,000–$214,500 — the shaded band above. At the midpoint, this role pays about $150k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 615 open roles on FindRole.

Listed pay typically runs $155,400–$232,600 across 593 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Databricks Lead Staff IT Engineer

The Databricks Lead (Staff IT Engineer) joins the Information Technology Group to serve as a hands-on technical leader focused on designing and operating enterprise-scale Databricks solutions. This individual will build scalable Lakehouse architectures, develop reusable platform frameworks, and drive AI-native development practices including automated testing and intelligent code generation. The role involves operationalizing machine learning solutions through MLOps practices while implementing AIOps for proactive incident management and self-healing automation. Key technical requirements include proficiency in Databricks, Delta Lake, Unity Catalog, MLflow, Mosaic AI, Python, SQL, Spark, REST APIs, and GitHub. Candidates must also possess skills in CI/CD automation and observability platforms to manage the lifecycle of enterprise AI workloads. The role solves complex problems regarding platform reliability, cost efficiency, and the integration of generative AI into standard engineering workflows.

What you'll do

  • Design and implement scalable Lakehouse architectures using Databricks, Delta Lake, Unity Catalog, and Workflows.
  • Develop reusable platform frameworks, automation capabilities, and tools to optimize performance and cost efficiency.
  • Build and operationalize machine learning solutions using MLflow, Mosaic AI, and MLOps practices.
  • Implement AI-powered engineering workflows and GenAI tools to improve developer productivity and code quality.
  • Deploy AIOps solutions for automated incident management, proactive issue detection, and self-healing systems.
  • Lead technical design reviews and establish coding, testing, and deployment standards for the engineering team.
  • Mentor engineers and drive engineering excellence through automation and reusable framework development.

What we're looking for

  • A Bachelor's degree with 4+ years of IT experience, or 7+ years of IT experience without a degree.
  • 8–12 years of overall IT experience.
  • 4–5 years of hands-on Databricks experience.
  • Experience implementing enterprise cloud and AI platforms.
  • Proficiency in Python, SQL, Spark, REST APIs, and GitHub.
  • Expertise with Databricks components including Delta Lake, Unity Catalog, Workflows, MLflow, and Mosaic AI.
  • Skills in CI/CD automation, AIOps, observability platforms, and Generative AI tools.
  • Ability to provide technical mentoring and lead cross-functional collaboration.

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