Databricks Lakehouse Architect & Cloud Data Engineer

U.S. Bank; Minneapolis (MN); Híbrido; USD 112.000 - 131.000; Tempo integral

Benefícios oferecidos por esta vaga

Healthcare

Life insurance

Disability insurance

401(k)

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Resumo da vaga

U.S. Bank is seeking a senior architectural lead to design and guide Databricks Lakehouse architectures that support large-scale data processing and analytics.

You will shape data platforms, establish CI/CD standards, and mentor engineers across multiple technology disciplines. The role involves migrating Oracle workloads to Databricks and cloud platforms, optimizing ETL/ELT pipelines, and collaborating with cloud, security, and application teams to deliver scalable, secure data solutions.

Qualificações

• Bachelor's degree or equivalent experience.
• 7–9 years in technology architecture design, or 10+ across disciplines.
• Strong Databricks and SQL/PL-SQL experience.

Responsabilidades

• Design and implement scalable Databricks Lakehouse architectures for enterprise data processing.
• Develop data solutions with Databricks, Python, PySpark, SQL, and Delta Lake.
• Migrate Oracle SQL/PLSQL workloads to cloud platforms and Databricks.
• Build high-volume ETL/ELT pipelines and data integration solutions.
• Collaborate with cloud, security, and application teams to deliver scalable data solutions.

Conhecimentos

Databricks

Delta Lake

Python

PySpark

SQL tuning

Oracle PL/SQL

Cloud migrations

Data architecture

CI/CD

Formação

Bachelor's degree

Ferramentas

Oracle

AWS

S3

CI/CD tooling

Unity Catalog

Databricks Workflows

Descrição da vaga

U.S. Bank is seeking a senior architectural lead to design and guide Databricks Lakehouse architectures that support large-scale data processing and analytics.

You will shape data platforms, establish CI/CD standards, and mentor engineers across multiple technology disciplines. The role involves migrating Oracle workloads to Databricks and cloud platforms, optimizing ETL/ELT pipelines, and collaborating with cloud, security, and application teams to deliver scalable, secure data solutions.