Principal Enterprise Data Architect

Wells Fargo

. Advise senior technology leaders on enterprise data architecture strategy, target-state direction, and transformation priorities across Technology and Cybersecurity domains .

Posted 11/12/2026full-timeUnited StatesLead💰 $159,000 - $305,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in enterprise data architecture, including data modeling, integration, and governance across complex technology environments. Proven ability to define and implement scalable architecture strategies that enhance data accessibility and support business objectives.

Highest-signal resume keywords

Enterprise Data ArchitectureData ModelingAWS ArchitectureGoogle Cloud Platform ArchitectureData Integration Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SourcingData DistributionData Quality ManagementMetadata ManagementEvent-Driven ArchitectureBatch ProcessingData VirtualizationSemantic LayersData GovernanceArchitecture Strategy

Soft Skills

Influencing Senior LeadersCollaboration with Cross-Functional Teams

Tools & Technologies

ServiceNowData LakesLakehousesData WarehousesOperational Data Stores

Industry Keywords

Financial ServicesCybersecurityRisk ManagementGovernance

Tech Stack

Tools & technologies

AWSCloudCyber SecurityGoogle Cloud PlatformServiceNow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

7+ years of architecture experience, or equivalent demonstrated through work experience, training, military experience, or education
5+ years of experience defining enterprise data architecture, including data modeling, integration, data sourcing, distribution, and consumption patterns across complex technology environments
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 numbers of downstream consumers to access trusted data while minimizing unnecessary data movement and duplication
Deep knowledge of data modeling, semantic layers, data products, metadata management, lineage, data quality, authoritative sources, governance, and information lifecycle management
Experience defining data integration and distribution patterns using APIs, event-driven architectures, streaming, batch pipelines, data virtualization, and federated access
Experience architecting solutions within AWS and/or Google Cloud Platform, including modernization of legacy or on-premises data environments
Demonstrated experience moving between architecture strategy and execution, including leading proofs of concept and validating architecture patterns against real-world use cases
Ability to evaluate technology alternatives and architectural tradeoffs across scalability, resiliency, performance, security, cost, risk, and long-term sustainability
Experience influencing senior leaders, engineering organizations, product teams, cybersecurity partners, and external technology vendors
Experience working within highly regulated environments and incorporating cybersecurity, privacy, risk, governance, and control requirements into architecture decisions
Knowledge of ServiceNow data models and enterprise ServiceNow environments is preferred
Financial services experience is preferred
This position is not eligible for visa sponsorship

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards