Lead Cloud Data Engineer - Multi-Cloud Data Platforms

US Bank

Closes in 4 days Hybrid

Quick summary

Work type
Hybrid
Location
Irving, TXChicago, ILHopkins, MN
Salary
$133,365–$156,900 / yr
Posted
3 days ago
Closes
Jun 16, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $145k
$122k most similar roles pay here $228k

This role pays less than 68% of similar roles. Most pay $139,100–$211,200 — the shaded band above. At the midpoint, this role pays about $145k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 28 open roles on FindRole.

Listed pay typically runs $115,685–$136,100 across 28 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Lead Cloud Data Engineer - Multi-Cloud Data Platforms

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Join our Data Product Engineering team as a Senior Cloud Data Engineer and play a pivotal role in transforming legacy data platforms to cloud-native solutions across Azure, AWS, Databricks, and Snowflake. You will design and build scalable, reliable, and compliant enterprise-grade data products, collaborating closely with product managers, analytics teams, and security partners to ensure seamless integration and secure data sharing. Your daily tasks include implementing batch and streaming data processing patterns using Spark and cloud-native services, while adhering to financial services governance requirements. Ideal candidates have deep expertise in modern cloud data platforms, distributed data processing, and secure data integration, along with strong SQL skills and experience with tools like Azure Data Factory, AWS Glue, Databricks, and Snowflake.

Skills

Azure AWS Databricks Snowflake Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics AWS Glue S3 Apache Spark SQL Kafka API gateways RabbitMQ IAM RBAC OAuth 2.0 TLS/mTLS JWT Power BI Tableau CI/CD

What you'll do

  • Design and maintain cloud-native data pipelines using Databricks and Snowflake.
  • Lead the modernization of on-premises data platforms to multi-cloud solutions.
  • Implement secure data sharing patterns across domains in a compliant manner.
  • Define and promote best practices for CI/CD, testing, observability, and performance tuning.
  • Translate business requirements into high-quality datasets with analytics teams.

What we're looking for

  • Deep experience with Azure Data Platform services and AWS data services.
  • Expertise in Databricks (Spark, Delta Lake) and Snowflake for data modeling and ingestion.
  • Strong SQL skills and experience designing scalable, efficient data solutions.
  • Hands-on experience building batch and near-real-time data pipelines using Apache Spark.
  • Understanding of security principles including IAM, RBAC, OAuth 2.0, TLS/mTLS, JWT.
  • Familiarity with financial services governance and regulatory requirements.
  • Experience enabling secure data sharing patterns across multi-cloud environments.

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