Lead Data Engineer

Wells Fargo

Confirmed live today High trust
Closes in 5 days Hybrid

Quick summary

Work type
Hybrid
Location
Irving, TXCharlotte, NC
Posted
2 days ago
Freshness
Confirmed live today
Closes
Sep 29, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $176k
$131k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $139,914–$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 39 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 24 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

Lead Data Engineer The Lead Data Engineer joins the COO Technology team to shape and scale a cloud-native data ecosystem. This role focuses on designing, building, and operating reusable data capabilities that power analytics and AI at enterprise scale. You will develop scalable, secure data platforms using Google Cloud Platform services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage. Responsibilities include creating ingestion frameworks, shared transformation libraries in Python, SQL, and Beam, and managing orchestration via Cloud Composer or Cloud Workflows. The role involves implementing robust data modeling, enforcing quality and lineage, and applying security controls like IAM and VPC-SC. You will work with domain teams to onboard use cases while optimizing costs and performance for batch and streaming workloads. Required skills include experience with Spark SQL, CI/CD pipelines, and managing complex data infrastructure within a cloud environment.

What you'll do

  • Design and implement scalable, secure data platforms using Google Cloud Platform managed services like BigQuery and Dataflow.
  • Build reusable frameworks and tooling for ingestion, transformation, quality, and orchestration across multiple product teams.
  • Standardize data patterns and templates to enable self-service consumption and governance-by-design.
  • Develop shared transformation libraries in Python, SQL, or Beam for common data processing routines.
  • Provide orchestration capabilities using Cloud Composer or Cloud Workflows with integrated CI/CD pipelines.
  • Implement robust data modeling and semantic layers within BigQuery.
  • Enforce data quality, lineage, and observability through standardized metrics and monitoring dashboards.
  • Apply security and governance controls including IAM, VPC-SC, and policy-driven access patterns.

What we're looking for

  • 5+ years of Database Engineering experience or equivalent through work, training, military experience, or education.
  • 5+ years of data management experience within a public cloud (GCP, AWS, or Azure).
  • 5+ years of hands-on experience with Python or Java and Spark SQL for building pipelines and automation tooling.
  • 5+ years of experience with orchestration tools like Cloud Composer/Airflow and CI/CD workflows.
  • Experience with logging/monitoring stacks, automated testing, and data quality checks (preferred).
  • Knowledge of cloud architecture principles including networking, security, IAM, reliability, and cost management (preferred).
  • Experience with core GCP data services such as BigQuery, Dataflow, Dataproc, and Pub/Sub (preferred).
  • Experience with Agile transformations, technology roadmaps, and working with onshore/offshore teams (preferred).

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