Databricks Lakehouse Architect & Data Engineer

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

Benefits offered by this job

Healthcare

Life insurance

Disability insurance

Parental leave

401(k)

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking a senior-level architect to lead multi-discipline architectural development. You will design scalable Databricks Lakehouse solutions, migrate Oracle workloads to cloud platforms, and mentor staff while coordinating across cloud, security, and data teams.

The role emphasizes enterprise standards, CI/CD, and high-volume data processing, with hybrid work from designated U.S. Bank locations. Strong focus on performance tuning and cross-functional collaboration.

Qualifications

• Bachelor's degree or equivalent experience.
• 7–9 years in technology architecture; or 10+ years across disciplines.

Responsibilities

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

Skills

Databricks

Delta Lake

PySpark

Python

SQL tuning

Oracle databases

ETL/ELT pipelines

CI/CD

Distributed data processing

Data architecture

Troubleshooting

Education

Bachelor's degree or equivalent experience

Tools

Databricks Workflows

Unity Catalog

AWS S3

Oracle

Job description

U.S. Bank is seeking a senior-level architect to lead multi-discipline architectural development. You will design scalable Databricks Lakehouse solutions, migrate Oracle workloads to cloud platforms, and mentor staff while coordinating across cloud, security, and data teams.

The role emphasizes enterprise standards, CI/CD, and high-volume data processing, with hybrid work from designated U.S. Bank locations. Strong focus on performance tuning and cross-functional collaboration.