Lead Data Engineer

Wells Fargo

Confirmed live yesterday High trust
Closes in 3 days

Quick summary

Work type
On-site
Location
Raleigh, NCChandler, AZCharlotte, NCIrving, TX
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Sep 18, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $177k
$135k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $142,825–$211,200.

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 44 open roles on FindRole.

Listed pay typically runs $159,000–$239,000 across 20 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

Lead Data Engineer joins the Enterprise Services Technology Cyber Security organization to drive the evolution of enterprise data platforms supporting cybersecurity, technology risk, governance, analytics, reporting, AI-enabled services, and enterprise workflow capabilities. This role involves designing and implementing scalable data ingestion, transformation, and distribution frameworks while building high-performance ETL/ELT pipelines for operational and regulatory workloads. The individual will manage data models, architecture standards, and event-driven processing using streaming and messaging technologies. Key technical requirements include expertise in SQL, data modeling, and integration with ServiceNow and enterprise workflow platforms. Candidates should be proficient in AI-assisted development tools like GitHub Copilot to accelerate system design and troubleshooting. The role addresses critical cybersecurity and technology risk functions by developing robust data solutions within a highly regulated financial services environment involving complex data domains and large-scale warehouse environments.

What you'll do

  • Design and implement enterprise-scale data platforms and scalable ingestion, transformation, and distribution frameworks.
  • Build and optimize high-performance ETL/ELT pipelines for operational, analytical, and regulatory workloads.
  • Develop event-driven data processing solutions using streaming and messaging technologies.
  • Create and optimize SQL-based solutions for analytics, reporting, and troubleshooting.
  • Maintain enterprise data models, architecture standards, and integration frameworks.
  • Lead technical design activities, architecture reviews, and engineering best practices.
  • Mentor and provide technical guidance to data engineers throughout the development lifecycle.
  • Integrate AI-assisted tools to accelerate system design, coding, testing, and analysis.

What we're looking for

  • Must have 5+ years of Database Engineering experience or equivalent through work, training, military service, or education.
  • Must possess strong expertise in data modeling, data architecture, and enterprise data integration patterns.
  • Must have experience developing and optimizing complex SQL queries and database solutions.
  • Must have experience building scalable ETL/ELT pipelines and data ingestion frameworks.
  • Must have experience integrating with ServiceNow and enterprise workflow platforms.
  • Experience supporting Cyber Security, Technology Risk, Governance, Risk & Compliance, or Enterprise Technology initiatives (preferred).
  • Experience deploying solutions on OpenShift, Kubernetes, or other container platforms (preferred).
  • Experience working with NoSQL databases, graph databases, Redis, or distributed caching technologies (preferred).

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