Senior Data Engineering Manager

Wells Fargo

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NCWest Des Moines, IADallas, TX
Employment
Full-time
Posted
9 days ago
Freshness
Confirmed live yesterday
Closes
Oct 16, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $178k
$122k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $141,887–$214,925.

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 21 open roles on FindRole.

Listed pay typically runs $139,000–$239,000 across 10 roles with salary data.

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At a glance

TL;DR · Senior Data Engineering Manager

The Data Engineering Senior Manager joins the Home Lending Data & Insights team within Consumer Technology to provide leadership across Capital Markets and Shared Data Services. This role focuses on building high-performing engineering teams, modernizing data platforms, advancing cloud adoption, and developing AI-ready data products for loan delivery, investor reporting, and risk management. The manager will oversee the design of enterprise-scale data lakes, streaming solutions, and cloud-native architectures while ensuring compliance within a regulated financial services environment. Key responsibilities include establishing standards for data quality, lineage, and governance while fostering engineering excellence through DevOps and Agile methodologies. Required expertise includes experience with data modeling, ETL/ELT, and distributed processing. Desired technical skills include proficiency with Databricks, Snowflake, Azure, AWS, GCP, Spark, and Kafka to support machine learning, generative AI, and advanced analytics initiatives.

What you'll do

  • Develop and execute a multi-year data engineering strategy aligned with enterprise technology and AI priorities.
  • Translate business objectives into scalable technology investments and technical engineering roadmaps.
  • Build and lead high-performing teams of data engineers and technical leaders through coaching and mentorship.
  • Develop AI-ready data platforms to support machine learning, generative AI, and advanced analytics.
  • Oversee the design and modernization of enterprise-scale data lakes and cloud-native architectures.
  • Establish standards for data quality, observability, metadata management, and operational excellence.
  • Ensure all data products comply with risk management frameworks, security policies, and regulatory requirements.
  • Drive engineering excellence through modern software practices, automation, DevOps, and Agile methodologies.

What we're looking for

  • 7+ years of data engineering experience or equivalent through work, training, military service, or education.
  • 3+ years of management or leadership experience.
  • 5+ years of experience leading large-scale data engineering initiatives and enterprise data platforms.
  • 4+ years of experience delivering cloud-based data and analytics solutions.
  • 5+ years of experience in data architecture, modeling, ETL/ELT, metadata management, governance, and distributed processing.
  • 3+ years of experience influencing and collaborating with senior technology and business leaders.
  • Experience supporting enterprise AI, Machine Learning, Generative AI, or advanced analytics (preferred).
  • Experience with modern cloud platforms, big data/streaming technologies, and advanced degrees in technical fields (preferred).

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