Data Engineer - Principal Engineer
Wells Fargo1 day ago
Charlotte, NC, USA or Irving, TX, USAStaff+
Responsibilities
- Define enterprise metadata and lineage architecture, including scalable ingestion, scanning, lineage derivation, repository integration, and standardized onboarding patterns.
- Expand metadata harvesting and scanning across legacy and modern platforms while automating metadata capture and improving onboarding velocity.
- Lead engineering efforts for element-level lineage and lineage-as-a-service capabilities supporting regulatory, risk, resilience, change-management, impact-analysis, and root-cause-investigation needs.
- Advance AI-assisted metadata enrichment, semantic discovery, knowledge graph creation, and automated governance workflows.
- Mentor engineering teams across metadata management, data quality, observability, platform engineering, and governance tooling.
- Resolve complex cross-domain integration challenges, guide architectural decisions, and align roadmaps with senior technology and business leaders.
- Advise leadership on enterprise technology strategy and deliver long-term, large-scale engineering solutions across multiple groups.
Requirements
- 7+ years of engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
- 5+ years of experience defining and implementing enterprise architecture strategies for metadata management, data lineage, data governance, or related data platforms.
- 5+ years of experience leading large-scale technology modernization, migration, or transformation initiatives across complex enterprise environments.
- 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.
- Preferred advanced degree in Computer Science, Information Systems, Engineering, Data Management, or a related discipline.
- Preferred 10+ years designing, developing, and supporting enterprise-scale data management, metadata management, governance, lineage, catalog, or data quality platforms.
- Preferred expertise in modern data architecture, cloud-native platforms, distributed systems, enterprise data ecosystems, automation, AI/ML, or GenAI capabilities.
- Preferred experience defining engineering roadmaps, influencing architecture decisions, mentoring technical teams, and leading transformation initiatives.
- Preferred experience in regulated financial services with knowledge of risk management, compliance, security, and data privacy requirements.
- Strong executive communication, stakeholder management, analytical, problem-solving, and strategic-thinking skills.
Benefits
- Hybrid work schedule.
- This position is not eligible for visa sponsorship.
Tech Stack
Categories
Data Engineering
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.