This listing doesn't post a salary. Most similar roles pay
$138,850–$212,000.
Based on 240 similar postings.
Employer
About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
90 open roles
on FindRole.
Listed pay typically runs
$144,009–$224,000
across 50 roles with salary data.
Wells Fargo is hiring a Principal Data Architect to lead the modernization of data architecture in its large-scale banking ecosystem, focusing on cloud and on-prem environments. This hands-on role involves designing scalable patterns for various workloads while guiding legacy system evolution into secure, resilient platforms. The ideal candidate will balance strategic planning with technical execution, proving concepts through code and influencing senior technologists. Key responsibilities include advising leadership on architectural frameworks, resolving complex challenges, and driving solutions that align with business outcomes. Required qualifications include 7+ years of experience in data architecture within financial services, expertise in hybrid cloud environments, and proficiency with relational, NoSQL, and distributed database technologies. Desired skills encompass hands-on capabilities with SQL, Python, Java, Spark, Kafka, and modern data pipeline frameworks, as well as a strong understanding of data security and AI/ML workloads.
Lead the development of architectural frameworks for complex business and technical needs across multiple groups.
Resolve highly complex challenges by delivering long-term, large-scale solutions that require advanced analytical thinking.
Provide strategic direction on implementing transformation strategies from current to target state architecture.
Drive investment planning and execution towards target technologies while rationalizing costs and ROI.
Ensure applications adhere to established Wells Fargo standards during the transition to target state architecture.
Define and establish strategic tools and frameworks for enterprise data architectures.
Maintain knowledge of industry best practices and recommend innovations that enhance operations or provide a competitive advantage.
What we're looking for
7+ years of experience in data architecture across hybrid cloud, public cloud, private cloud, and on-premises platforms.
Deep expertise in designing enterprise-scale data architectures using relational, NoSQL, columnar, distributed, and shared-nothing database technologies.
Proven ability to design scalable architectures with partitioning, sharding, replication, workload isolation, horizontal scaling, and distributed processing patterns.
Strong understanding of application workloads, analytical workloads, reporting workloads, workflow engines, and AI/ML workloads interacting with enterprise data platforms.
Hands-on capability with 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.
AWS
Azure
Python
SQL
Apache Spark
Apache Kafka
Apache Hadoop
ETL
ELT
CI/CD
MLOps
Data Lakes
Lakehouse
Data Warehousing
Streaming data systems
Data Mesh
Medallion architecture
API-driven data services
Data governance
Scalability