Principal Engineer – Automation

Wells Fargo • Charlotte, NC

2d • Hybrid

About The Position

Wells Fargo is seeking a Principal Engineer – Automation within the Chief Data Office (CDO) to provide enterprise technical leadership for automation and AI‑enabled engineering solutions supporting data and analytics platforms. This role focuses on designing and delivering scalable, repeatable automation for high‑frequency, high‑urgency operational activities across legacy and modern data ecosystems, ensuring data correctness, platform stability, and audit readiness in high‑pressure environments.

Requirements

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

• Experience with Python, Spark, and Strong DevSecOps skills
• Experience designing and implementing automation solutions across enterprise data, analytics, and BI platforms
• Strong understanding of operational automation, orchestration, and AI‑enabled decisioning in complex environments
• Experience supporting high‑frequency, high‑risk operational processes requiring auditability and consistency
• Demonstrated ability to influence technical strategy across multiple data and platform teams
• Automation of high-risk / high-frequency operations (not just tooling—production impact)
• AI-infused automation strategy (beyond basic scripting; decisioning + optimization)
• Legacy-to-modern automation transformation experience
• Enterprise-scale reliability engineering mindset (stability, resiliency, audit readiness)

Responsibilities

• Act as an advisor to leadership to develop or influence automation architectures and AI‑enabled engineering solutions supporting highly complex data, analytics, and BI platforms across multiple groups
• Lead the strategy and resolution of highly complex and time‑critical automation challenges requiring in‑depth evaluation across legacy, modern data, and BI environments, delivering solutions that are long‑term, large‑scale, and require vision, creativity, innovation, advanced analytical, and inductive thinking
• Design and deliver end‑to‑end automation across operational lifecycles, including assessment, planning, preparation, execution, and post‑execution validation, to improve speed, consistency, and reliability
• Translate advanced engineering experience, deep knowledge of the organization’s tactical and strategic data objectives, enterprise technology environment, organizational structure, and automation opportunities into effective engineering solutions that preserve data integrity and platform stability
• Provide vision, direction, and expertise to leadership on implementing AI‑infused automation that reduces manual dependency, accelerates remediation timelines, and enables rapid, repeatable execution during emergency scenarios
• Maintain knowledge of industry best practices, automation frameworks, and AI technologies, and recommend innovations that enhance operational resilience, compliance posture, and audit readiness
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership on automation, data platform reliability, and operational risk reduction

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed