This listing doesn't post a salary. Most similar roles pay
$142,375–$211,770.
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
46 open roles
on FindRole.
Listed pay typically runs
$159,000–$254,000
across 21 roles with salary data.
As a Data Engineer - Principal Engineer, you will join the team to lead the architecture and strategy for enterprise metadata, data lineage, and AI-enabled data platforms. You will serve as a technical advisor to leadership, defining scalable patterns for metadata ingestion, scanning, and repository integration while driving automation to improve onboarding velocity. Your daily work involves building element-level lineage capabilities to support regulatory requirements and advancing AI-assisted metadata enrichment through knowledge graph creation and automated governance workflows. The role requires expertise in data observability, quality, and business glossary frameworks. You will utilize technologies including Databricks, Snowflake, Hadoop, Oracle, SQL Server, Kafka, and OpenShift/Kubernetes. You will mentor multiple agile teams to solve complex cross-domain integration challenges while ensuring data visibility and trust across the enterprise's diverse technology stacks and infrastructure.
What does a Data Engineer earn?
Median $177600 from 228 postings across 58 companies.
Mentor engineering teams across metadata management, data quality, observability, and platform engineering.
Resolve complex cross-domain integration challenges and guide critical architectural decisions for enterprise-scale platforms.
Partner with senior leadership to align technology roadmaps with strategic business objectives.
What we're looking for
7+ years of engineering experience or equivalent through work, training, military service, or education.
5+ years of experience defining and implementing enterprise architecture strategies for metadata management, data lineage, data governance, or related platforms.
5+ years of experience leading large-scale technology modernization, migration, or transformation initiatives across complex enterprise environments.
Demonstrated experience designing scalable metadata ingestion, scanning, cataloging, and lineage solutions across diverse technology platforms.
Strong understanding of metadata management, business glossary frameworks, data lineage, data observability, data quality, and data governance practices.
Advanced degree in Computer Science, Information Systems, Engineering, Data Management, or a related discipline (preferred).
10+ years of experience designing, developing, and supporting enterprise-scale data management, metadata management, governance, lineage, catalog, or data quality platforms (preferred).
Experience with technologies such as Databricks, Snowflake, Hadoop, Oracle, SQL Server, Kafka, OpenShift/Kubernetes, and cloud services (preferred).