Databricks Lead (Staff IT Engineer)
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Before you apply
Salary$120k – $179k
LocationSan Diego, California, United States of America
Work modeon-site
Typefull-time
SeniorityLead
Experience4–12 yrs
DepartmentIT Engineering
EquityIncluded
Company size10,000+ people
First seenNov 3, 2026 · 2d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
8–12 years of overall IT experience
4–5 years of hands-on Databricks experience
Strong experience implementing enterprise cloud and AI platforms
Databricks Platform
Delta Lake
Unity Catalog
MLflow
Mosaic AI
Python, SQL, Spark
Databricks Workflows
REST APIs
GitHub
CI/CD Automation
AIOps and Observability Platforms
Generative AI tools and frameworks
Technical mentoring
Problem solving and innovation
Cross-functional collaboration
Continuous improvement mindset
Strong communication skills
4+ years of IT-related work experience with a Bachelor's degree
7+ years of IT-related work experience without a Bachelor’s degree
Completed advanced degrees in a relevant field may be substituted for up to two years of work experience
This role is not eligible for Qualcomm immigration sponsorship
Full-time onsite work in San Diego, CA or Boulder, CO (5 days per week)
Skills
Databricks Platform
Delta Lake
Unity Catalog
MLflow
Mosaic AI
Python
SQL
Spark
Databricks Workflows
REST APIs
GitHub
CI/CD Automation
AIOps and Observability Platforms
Generative AI tools and frameworks
Claude Code
GenAI
Benefits
Annual discretionary bonus
RSU grants
Company:
Qualcomm Incorporated
Job Area:
About the role
Information Technology Group, Information Technology Group > IT Engineering
General Summary:
The Databricks Lead (Staff IT Engineer) is a hands-on technical leader responsible for designing, building, and operating enterprise-scale Databricks solutions. This role drives platform adoption, AI-native development practices, machine learning enablement, AIOps automation, and cloud modernization initiatives. The individual will lead technical delivery, mentor engineers, establish engineering standards, and ensure highly scalable, secure, and intelligent data and AI platforms.
This role requires full-time onsite work in San Diego, CA or Boulder, CO (5 days per week).
This role is not eligible for Qualcomm immigration sponsorship.
Key Responsibilities
Databricks Platform Leadership
•
Design and implement scalable Lakehouse architectures using Databricks, Delta Lake, Unity Catalog, Workflows, and Serverless capabilities.
•
Develop reusable platform frameworks, accelerators, and automation capabilities.
•
Optimize platform performance, reliability, scalability, and cost efficiency.
•
Drive platform modernization and cloud-native engineering best practices.
AI-Native Development
•
Promote AI-assisted software engineering using Claude Code, GenAI, and automation frameworks.
•
Develop AI-powered engineering workflows to improve developer productivity and quality.
•
Implement intelligent code generation, testing automation, root-cause analysis, and deployment optimization.
•
Establish best practices for AI-enabled SDLC and platform operations.
Machine Learning & AI Enablement
•
Build and operationalize machine learning solutions using MLflow, Mosaic AI, Feature Engineering, and Model Serving.
•
Support predictive analytics, anomaly detection, forecasting, and intelligent automation use cases.
•
Implement model lifecycle management and MLOps practices.
•
Collaborate with AI teams to enable enterprise AI workloads on Databricks.
AIOps & Reliability Engineering
•
Implement observability, monitoring, and automated incident management solutions.
•
Build AI-driven operational insights for proactive issue detection and remediation.
•
Improve platform reliability through self-healing automation and intelligent alerting.
•
Drive reduction in operational toil through automation.
Technical Leadership
•
Lead technical design reviews and solution architecture discussions.
•
Mentor engineers and establish coding, testing, and deployment standards.
•
Drive engineering excellence through automation and reusable frameworks.
Required Qualifications
Experience
•
8–12 years of overall IT experience.
•
4–5 years of hands-on Databricks experience.
•
Strong experience implementing enterprise cloud and AI platforms.
Technical Skills
•
Databricks Platform
•
Delta Lake
•
Unity Catalog
•
MLflow
•
Mosaic AI
•
Python, SQL, Spark
•
Databricks Workflows
•
REST APIs
•
GitHub
•
CI/CD Automation
•
AIOps and Observability Platforms
•
Generative AI tools and frameworks
Leadership Competencies
•
Technical mentoring
•
Problem solving and innovation
•
Cross-functional collaboration
•
Continuous improvement mindset
•
Strong communication skills
Success Metrics
•
Platform availability and reliability
•
AI adoption across engineering teams
•
Reduction in operational incidents
•
Deployment automation maturity
•
ML use-case adoption
•
Cost optimization and utilization efficiency
Minimum Qualifications:
• 4+ years of IT-related work experience with a Bachelor’s degree.
OR
7+ years of IT-related work experience without a Bachelor’s degree.
*Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
Legal
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$119,600.00 - $179,400.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.