Senior Data Engineer Lead - Databricks & Multi-Cloud

U.S. Bank; Irving (TX); On-site; USD 133,000 - 157,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement

Paid vacation

Up to 11 paid holidays

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank is seeking a senior data engineering leader to design and deliver scalable, governed data products on a Databricks Lakehouse across Azure and AWS. You will guide architecture, governance, and pipelines while remaining hands-on with coding and reviews.

Lead cross-cloud data integration, ensure quality and security, and drive engineering best practices with distributed teams across on-site locations.

Qualifications

• Bachelor’s degree or equivalent work experience.
• Six to eight years of relevant experience.

Responsibilities

• Lead and guide Databricks data engineering across Bronze, Silver, and Gold layers with trusted, reusable data products.
• Translate business requirements into scalable data architecture and delivery standards.
• Remain hands-on in engineering, including coding and code reviews, while guiding pipeline delivery.
• Review data models and code for quality, security, and performance.
• Drive cross-cloud data integration across Azure, AWS, Databricks, and Snowflake.
• Embed data quality, governance, PII and PCI controls, monitoring and reliability.
• Establish engineering best practices for CI/CD, testing, and observability.
• Provide technical leadership through influence across distributed teams without direct people-management responsibility.

Skills

Python

PySpark

SQL

Databricks

Delta Lake

Unity Catalog

Git

CI/CD

Kafka

Azure

AWS

Education

Bachelor’s degree or equivalent

Tools

Databricks

Snowflake

Tableau

Terraform

Apache Airflow

Job description

U.S. Bank is seeking a senior data engineering leader to design and deliver scalable, governed data products on a Databricks Lakehouse across Azure and AWS. You will guide architecture, governance, and pipelines while remaining hands-on with coding and reviews.

Lead cross-cloud data integration, ensure quality and security, and drive engineering best practices with distributed teams across on-site locations.