Principal Architect - Enterprise Reconciliation Platform

About this role:

Wells Fargo is seeking a Principal Architect to serve as a senior technical leader driving the vision, strategy, and execution of our Enterprise Reconciliation Platform within COO Technology.

This is a high-impact role at the intersection of business operations, financial controls, and modern engineering, where you will shape the future of how reconciliation is delivered across the enterprise.

As a Principal Architect, you will define and advance the target state architecture for the Reconciliation Utility Product, transforming fragmented, siloed processes into a scalable, unified, and product-driven platform.

You will act as a strategic bridge between Finance, Operations, Risk, and Engineering, ensuring alignment between business outcomes and technical execution while upholding architectural integrity, resiliency, and scalability across a federated ecosystem.

In this role, you will:

* Own the architecture strategy for enterprise reconciliation, establishing a modern utility model with modular, reusable capabilities

* Act as a strategic advisor to senior leadership, defining and advancing the architectural vision, framework, and delivery for highly complex business and technical challenges across the enterprise

* Lead the development of current state, target state, and transition architecture for the Reconciliation Utility Product across business, data, application, and technology domains

* Drive resolution of complex, cross-domain challenges, delivering long-term, scalable solutions that require innovation, advanced analytical thinking, and enterprise-wide coordination

* Establish enterprise data and integration patterns, including event-driven and stream-first architectures for reconciliation across core banking systems, payment rails, and external data sources

* Lead application rationalization and capability convergence across reconciliation tools and vendor platforms, optimizing total cost of ownership and return on investment

* Define and govern canonical data models, UDM alignment, and end-to-end data lineage, traceability, and control frameworks

* Embed AI/GenAI capabilities into reconciliation workflows, including automated matching, exception classification, and intelligent decision support

* Influence strategic and investment planning, including build vs. buy decisions, vendor strategy, architecture frameworks, and execution roadmaps aligned to target state

* Drive adoption of cloud-native, microservices-based, and API-first architectures, ensuring scalable, resilient, high-performance solutions and enforcing non-functional requirements

* Provide architecture governance through design reviews, risk assessments, and compliance alignment, ensuring adherence to enterprise standards, audit, and regulatory requirements

Required Qualifications:

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

* 5+ years of expertise in data architecture, integration patterns, and high-volume transaction processing systems within complex, regulated environments (e.g., financial services, operations platforms)

* 5+ years of experience designing cloud-native, event-driven architectures (microservices, APIs, streaming) with the ability to define scalable, resilient, and secure solutions aligned to enterprise standards

* 2+ years of AI/ML and GenAI integration, including applying intelligent automation to operational workflows (e.g., matching, anomaly detection, classification)

Desired

Qualifications:

* Experience in financial services domain, particularly reconciliation, payments, transaction processing, or operations platforms

* Deep expertise in event streaming technologies and real-time data processing frameworks (e.g., Kafka or equivalent)

* Experience building or supporting product-based operating models, with alignment to shared backlogs, domain ownership, and cross-functional delivery

* Proven ability to lead large-scale data and platform transformations, including data model standardization and enterprise integration strategy

* Familiarity with enterprise data management practices,…