Lead Data Engineer - GCP Platform Services & Frameworks

Wells Fargo

Closes tomorrow Hybrid

Quick summary

Work type: Hybrid
Location: Iselin, NJ · Irving, TX · Charlotte, NC
Salary: $119,000–$224,000 / yr
Posted: 2 days ago
Closes: Jun 5, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k

This role $172k

$106k most similar roles pay here $238k

This role pays less than 62% of similar roles. Most pay $155,000–$221,137 — the shaded band above. At the midpoint, this role pays about $172k versus about $188k for comparable roles.

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 62 open roles on FindRole.

Listed pay typically runs $119,000–$224,000 across 33 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Lead Data Engineer - GCP Platform Services & Frameworks

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The Lead Data Engineer role within the COO Technology group at a large financial services organization involves designing and implementing scalable, secure data platforms on Google Cloud to support front-office, middle-office, and finance functions. Day-to-day responsibilities include building reusable frameworks for ingestion, transformation, quality checks, and orchestration using Python/SQL/Beam, optimizing GCP workloads, and ensuring robust data modeling and governance. The ideal candidate has extensive experience with GCP services like BigQuery, Dataflow, Dataproc, and Cloud Composer, along with strong skills in Python, Spark, advanced SQL, and data modeling. They will collaborate closely with domain teams to onboard use cases onto platform services and contribute to the technology roadmap while maintaining excellent communication across technical audiences.

Skills

Google Cloud BigQuery Dataflow Dataproc Pub/Sub Cloud Storage Composer Python SQL Apache Beam Spark CI/CD Cloud Build Git Airflow Cloud Logging Cloud Monitoring error reporting metrics dashboards ETL ELT

What you'll do

Lead the design and implementation of scalable, secure data platforms on Google Cloud using managed services.
Build reusable frameworks and tooling for ingestion, transformation, quality, and orchestration that can be adopted by multiple teams.
Develop shared transformation libraries in Python/SQL/Beam to ensure common SCD patterns, data quality checks, and masking/tokenization routines.
Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.
Optimize cost, performance, and reliability of GCP data workloads using partitioning, clustering, storage classes, and autoscaling strategies.

What we're looking for

5+ years of Data Engineering experience with Google Cloud Platform (GCP) services
Proficient in Python, Spark, advanced SQL, and data modeling for analytics and warehousing
Extensive experience with orchestration tools like Cloud Composer/Airflow and CI/CD practices
Strong background in automated testing, data quality checks, and monitoring systems
Expertise in core GCP data services including BigQuery, Dataflow, Dataproc, Pub/Sub
Bachelor’s degree in computer science or related field required
Excellent communication skills for technical presentations and collaboration across teams

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