Databricks Data Architect & Cloud Data Engineer

U.S. Bank; Minneapolis (MN); On-site; USD 112,000 - 131,000; Full time

Benefits offered by this job

Healthcare

401(k)

Paid vacation

Holiday opportunities

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking a senior data architect to lead architectural development across multiple tech domains. The role focuses on designing scalable Databricks Lakehouse architectures and migrating Oracle SQL workloads to cloud platforms.

You will implement high-volume ETL/ELT pipelines, optimize performance, and ensure standards across CI/CD, security, and data governance. Collaboration with cross-functional teams is essential.

Qualifications

• Weaknesses in cloud migration are not acceptable; candidate must design scalable data architectures.

Responsibilities

• Design and implement scalable Databricks Lakehouse architectures for enterprise data processing.
• Develop data solutions using Databricks, Python, PySpark, Databricks SQL, and Delta Lake.
• Migrate Oracle SQL/PL/SQL workloads to Databricks and cloud platforms.
• Create high-volume ETL/ELT pipelines and data ingestion solutions.
• Optimize Databricks performance including SQL queries and compute utilization.
• Integrate Databricks with Oracle, AWS S3, and analytics platforms.
• Establish reusable data architecture, CI/CD, security, and platform standards.
• Collaborate with cloud, infrastructure, database, and security teams to deliver scalable data solutions.

Skills

Databricks

Python

PySpark

SQL performance

Oracle PL/SQL

ETL/ELT pipelines

AWS S3

CI/CD

Data architecture

Distributed processing

Cross-functional collaboration

Troubleshooting

Education

Bachelor's degree

Tools

Databricks

Databricks Lakehouse

Delta Lake

SQL

Oracle databases

Job description

U.S. Bank is seeking a senior data architect to lead architectural development across multiple tech domains. The role focuses on designing scalable Databricks Lakehouse architectures and migrating Oracle SQL workloads to cloud platforms.

You will implement high-volume ETL/ELT pipelines, optimize performance, and ensure standards across CI/CD, security, and data governance. Collaboration with cross-functional teams is essential.