Databricks Platform Lead & AI-Enablement Engineer

Qualcomm

San Diego (CA)

On-site

USD 120,000 - 179,000

Full time

8 days ago
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Benefits offered by this job

Annual bonus
RSU grants
Competitive benefits
Onsite work in San Diego/Boulder

Job summary

Qualcomm Incorporated is seeking a Databricks Lead (Staff IT Engineer) to design, build, and operate enterprise Databricks solutions in a hands‑on leadership role. You will drive platform adoption, AI‑native development practices, MLOps enablement, and cloud modernization across teams in San Diego, CA or Boulder, CO.

You will mentor engineers, define engineering standards, and ensure scalable, secure data and AI platforms with strong collaboration across IT groups.

Qualifications

  • 8–12 years of overall IT experience.
  • 4–5 years of hands‑on Databricks experience.
  • Strong experience implementing enterprise cloud and AI platforms.

Responsibilities

  • Databricks Platform Leadership: design and implement scalable Lakehouse architectures.
  • AI‑Native Development: promote AI‑assisted software engineering and automation workflows.
  • Machine Learning & AI Enablement: build ML solutions and support predictive analytics.
  • AIOps & Reliability Engineering: observability and automated incident management.
  • Technical Leadership: lead design reviews and mentor engineers.

Education

Bachelor’s degree in IT / related field

Tools

Databricks Platform
Delta Lake
Unity Catalog
MLflow
Python
SQL
Spark
Databricks Workflows
REST APIs
GitHub
CI/CD Automation
AIOps & Observability
Generative AI tools

Job description

Qualcomm Incorporated is seeking a Databricks Lead (Staff IT Engineer) to design, build, and operate enterprise Databricks solutions in a hands‑on leadership role. You will drive platform adoption, AI‑native development practices, MLOps enablement, and cloud modernization across teams in San Diego, CA or Boulder, CO.

You will mentor engineers, define engineering standards, and ensure scalable, secure data and AI platforms with strong collaboration across IT groups.

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