Principal Enterprise Data Architect

Wells Fargo•Irving, TX

1d•$159,000 - $305,000•Onsite

About The Position

The Principal Enterprise Data Architect provides architecture leadership for enterprise data environments supporting Technology and Cybersecurity. The role advises senior technology leaders on architecture strategy, target-state direction, and transformation priorities, and leads the resolution of complex, enterprise-wide challenges across domains and organizations. The architect leads the evolution of existing data environments toward a cohesive target-state architecture. This includes establishing modern patterns for data products, semantic access, APIs, real-time and event-driven integration, cloud data platforms, and governed data consumption. The role combines long-term strategy with hands-on architecture validation, including proofs of concept to assess emerging technologies and architectural approaches. Experience with ServiceNow and its underlying data model is preferred, especially for integrating ServiceNow data with broader enterprise data ecosystems. The position works with application, cybersecurity, cloud, platform, data engineering, and governance teams, and influences technology investments by evaluating architecture alternatives for scalability, performance, resiliency, risk, cost, and long-term sustainability. The role is based at one of the listed locations and is not available for 100% remote work. Relocation assistance is not available.

Requirements

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.

Nice To Haves

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.
Financial services experience.

Responsibilities

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.
Follow applicable Wells Fargo risk programs, policies, procedures, governance, and compliance requirements; monitor and escalate risks and issues as appropriate.

Benefits

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