# Principal Engineer - Data Engineering Architect at Wells Fargo

Wells Fargo is hiring a Principal Engineer - Data Engineering Architect in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/8b50b719-d399-4dcd-99bc-fb26aef88b2c).

AI Level 1, AI centrality 20 out of 100. Bengaluru, India.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 1 (score 20 out of 100)
- Location: Bengaluru, India
- Posted: October 12, 2026
- Apply: https://jobsbylevel.com/go/8b50b719-d399-4dcd-99bc-fb26aef88b2c

## Description

About This Role Wells Fargo is seeking a Principal Engineer / Architect ( Data Engineering )to define and advance the data information strategy, information models, data sourcing standards, and data enablement roadmap across Enterprise Risk, Audit, and Finance Technology. This is a horizontal architecture role supporting multiple business and technology domains, including Financial Risk, Non-Financial Risk, Finance, Treasury, Regulatory Reporting, Internal Audit, Independent Testing, Model Risk, and Financial Crimes. The role will shape how enterprise information is identified, defined, sourced, modeled, governed, integrated, and made consumable across ERAFT. The role will establish common information models, semantic standards, authoritative-source guidance, reusable data products, and architecture patterns that enable consistent reporting, analytics, regulatory traceability, and artificial intelligence use cases. The ideal candidate brings a strong combination of information architecture, enterprise data architecture, financial-services and banking domain knowledge, data governance, sourcing strategy, semantic modeling, integration design, analytics enablement, and stakeholder leadership. This individual must be able to work independently, influence decisions across business and technology teams, and translate complex business, regulatory, and technology requirements into practical and scalable data architecture. In This Role, You Will Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership. Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 7+ years of experience in data architecture, information architecture, enterprise architecture, information modeling, or data-platform design. 7+ years of experience supporting banking, financial services, finance, risk, audit, regulatory reporting, compliance, or control-related domains. Desired Qualifications: Data Information Strategy and Architecture Define and own the data information strategy and target-state information architecture across ERAFT. Develop current-state, target-state, and transition-state architectures covering information domains, data sourcing, information models, metadata, lineage, data products, semantic access, integration, and consumption. Define canonical information models and common business concepts that can be reused across Risk, Finance, Audit, regulatory reporting, analytics, and AI use cases. Establish standards and artifacts for conceptual and logical data models, taxonomies, ontologies, business glossaries, source-to-target mappings, data flows, data lineage views, and semantic relationships. Align ERAFT information architecture with enterprise data, metadata,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-engineer-data-engineering-architect-at-wells-fargo-2727db

Source: https://jobsbylevel.com/jobs/principal-engineer-data-engineering-architect-at-wells-fargo-2727db

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-engineer-data-engineering-architect-at-wells-fargo-2727db.

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