Principal Data Architect Chief Data Office

About the role

The Principal Data Architect at Wells Fargo will shape modern data architecture across various environments, focusing on scalable patterns for application, analytics, workflow, and AI-enabled workloads. This role involves guiding the evolution of legacy systems into secure, resilient, and future-ready platforms.

Responsibilities

• Design scalable patterns for application, analytics, workflow, and AI-enabled workloads
• Guide the transformation of legacy systems into secure, resilient, and future-ready platforms
• Translate current-state constraints into forward-looking architectures
• Provide vision, direction, and expertise to senior leadership on implementing the transformation strategy
• Drive solutions that balance innovation with measurable value, including considerations of scalability, cost (TCO), and ROI

Requirements

• 7+ years of experience in data architecture, data engineering, database platforms, or enterprise technology roles, with significant experience in large-scale financial services or banking environments
• 7+ years of designing enterprise-scale data architectures across hybrid cloud, public cloud, private cloud, and on-premises platforms
• 7+ years of experience with relational, NoSQL, columnar, distributed, and shared-nothing database technologies

Qualifications

• Proven ability to design scalable architectures using partitioning, sharding, replication, workload isolation, horizontal scaling, and distributed processing patterns
• Experience architecting batch, streaming, event-driven, real-time, near-real-time, and API-based data integration patterns
• Strong understanding of how application workloads, analytical workloads, reporting workloads, workflow engines, and AI/ML workloads interact with enterprise data platforms
• Hands-on capability with technologies such as SQL, Python, Java, Spark, Kafka, Airflow, APIs, and modern data pipeline frameworks
• Expertise in data modeling, including conceptual, logical, physical, dimensional, canonical, domain-driven, and event-based models
• Strong knowledge of data security architecture, including encryption, tokenization, masking, access controls, entitlement models, secrets management, and audit logging
• Experience defining and evaluating non-functional technical requirements, including latency, throughput, scalability, availability, resiliency, recovery, observability, security, and maintainability
• Experience developing reference architectures, reusable design patterns, platform standards, technical guardrails, and implementation blueprints

Skills

• Deep expertise in distributed data systems, application and workflow integration, and analytic platforms
• Ability to translate current-state constraints into forward-looking architectures
• Strategic engagement with all levels of professionals and managers across the enterprise
• Ability to drive solutions that balance innovation with measurable value

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