Senior Data Architect & Engineer for Enterprise Data Platforms

JobCubby; Hopkins (MN); Hybrid; USD 120,000 - 141,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and retirement plan

Paid vacation

Paid holidays

Life insurance

Disability protection

Job summary

U.S. Bank seeks a Senior Data Architect / Data Engineer to design and modernize enterprise-scale data platforms powering analytics, AI/ML, fraud detection, and regulatory reporting.

You will build scalable data pipelines, optimize ETL/ELT processes, and ensure trusted data assets through governance and quality controls. The role collaborates with architects, data scientists, and business stakeholders to deliver reliable, secure data products and to mentor the team on best practices in data

Qualifications

• Bachelor's degree or equivalent work experience.
• 5–6 years of relevant data experience.
• Experience with enterprise data platforms and data warehousing.

Responsibilities

• Design, develop, and implement enterprise-scale data platforms and lakehouse architectures.
• Build batch, streaming, and event-driven data pipelines for analytics and AI/ML.
• Develop and optimize ETL/ELT frameworks with cloud-native tech.
• Create scalable data models, metadata, lineage, and quality controls.
• Lead cloud migration and modernization of data platforms.
• Collaborate with architects, engineers, data scientists, and business stakeholders.
• Conduct design reviews and mentor team on data engineering best practices.
• Ensure security, governance, performance, resiliency, and operational excellence.

Skills

Data architecture

Data engineering

ETL/ELT design

Cloud migration

Stakeholder collaboration

Python

SQL

Education

Bachelor's degree

Tools

Databricks

Apache Spark

Scala

PySpark

Delta Lake

Azure

AWS

Oracle

Job description

U.S. Bank seeks a Senior Data Architect / Data Engineer to design and modernize enterprise-scale data platforms powering analytics, AI/ML, fraud detection, and regulatory reporting.

You will build scalable data pipelines, optimize ETL/ELT processes, and ensure trusted data assets through governance and quality controls. The role collaborates with architects, data scientists, and business stakeholders to deliver reliable, secure data products and to mentor the team on best practices in data