# Principal Enterprise Data Architect at Wells Fargo

Wells Fargo is hiring a Principal Enterprise Data Architect. Level rates it Little AI ●○○○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/6a006266-2e2c-41a4-b6d1-ab7a3f229e3d?utm_medium=ai-agent).

AI Level 1, AI centrality 24 out of 100. CHARLOTTE, NC.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 1 (score 24 out of 100)
- Location: CHARLOTTE, NC
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/6a006266-2e2c-41a4-b6d1-ab7a3f229e3d?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-enterprise-data-architect-at-wells-fargo-19067f

## Description

At Wells Fargo, a Principal Architect advises senior leaders on architecture strategy, target-state direction, and technology transformation efforts, leading the resolution of highly complex, enterprise-wide challenges that span multiple domains and organizations. Learn more about career areas and business divisions at wellsfargojobs.com This Principal Enterprise Data Architect will provide architecture leadership for enterprise data environments supporting Technology and Cybersecurity, defining the strategy for how data is sourced, governed, integrated, processed, shared, and consumed across a complex ecosystem. The role will lead the evolution of multiple existing data environments toward a cohesive target-state architecture, establishing modern patterns for data products, semantic access, APIs, real-time and event-driven integration, cloud data platforms, and governed data consumption. The architect will combine long-term strategy with hands-on architecture validation, including proofs of concept that evaluate emerging technologies and architecture approaches. Experience with ServiceNow and its underlying data model is preferred, particularly as it relates to integrating ServiceNow data with broader enterprise data ecosystems. In this role, you will Advise senior technology leaders on enterprise data architecture strategy, target-state direction, and transformation priorities across Technology and Cybersecurity domains. Define current-state, target-state, and transition architectures for complex enterprise data environments and modernization initiatives. Establish enterprise architecture patterns for data sourcing, integration, storage, processing, distribution, and consumption. Develop strategies to reduce unnecessary data duplication and enable scalable, governed access to shared enterprise information. Define architecture patterns for data products, semantic layers, APIs, event-driven and real-time data distribution, batch processing, data virtualization, and federated access. Establish standards for conceptual, logical, canonical, and domain data models and promote consistent information definitions across platforms. Define authoritative data sources, systems of record and reference, data ownership, and appropriate sourcing and distribution patterns. Establish standards for metadata, lineage, data quality, data contracts, semantic models, business definitions, and traceability. Evaluate and guide modernization of enterprise data environments across cloud and hybrid platforms, including AWS and Google Cloud Platform. Design and lead proofs of concept to validate new architecture approaches, technology capabilities, integration patterns, and data-serving models. Influence technology investments and evaluate architecture alternatives based on scalability, performance, resiliency, risk, cost, and long-term sustainability. Partner with application, cybersecurity, cloud, platform, data engineering, and governance teams to ensure architecture approaches meet enterprise requirements. Assess emerging data technologies and recommend innovations that improve data accessibility, reliability, efficiency, and strategic business outcomes. 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 experience defining enterprise data architecture, including data modeling, integration, data sourcing, distribution, and consumption patterns across complex technology environments. Desired Qualifications Extensive experience defining enterprise data architecture strategies, target-state architectures, and multi-year modernization roadmaps for large, complex technology environments. Experience architecting at scale across multiple data platforms, data lakes, lakehouses, warehouses, operational data stores, and cloud data environments. Demonstrated ability to define architectures that enable large

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Source: https://jobsbylevel.com/jobs/principal-enterprise-data-architect-at-wells-fargo-19067f

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-enterprise-data-architect-at-wells-fargo-19067f.

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