Principal Engineer - Public Cloud Data at Wells Fargo
About the role
About this role: The Principal Engineer for Public Cloud Data, Analytics & Agentic AI Platform is the senior-most technical leader responsible for defining and driving the strategic architecture, engineering standards, and innovation roadmap for enterprise-scale data, analytics, and Agentic AI capabilities on public cloud platforms. This role serves as the technical authority for modern data platforms, AI-native architectures, and autonomous agent solutions that enable self-service analytics, i…
Interview process at Wells Fargo
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Wells Fargo interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.