Senior Data Architect - Financial Crime & Risk Platforms

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

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

Parental leave

401(k) plan

Paid vacation

11 paid holidays

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank is seeking a senior Enterprise Data Architect to lead architecture, design, and delivery of data platforms supporting Financial Crime, Risk, and Regulatory functions. You will drive modernization to cloud-native Databricks-based solutions while partnering with business leaders and engineering teams.

The role requires strong leadership, data modeling, governance, and advanced SQL/Python skills to ensure scalable, secure, and compliant data products across the enterprise.

Qualifications

• Leads enterprise data architecture for large-scale platforms.
• Experience with AML, Fraud, Risk, Compliance data domains.
• Knowledge of modern cloud-native data architectures.

Responsibilities

• Lead architecture, design, and implementation of data platforms for Financial Crime, Risk, Compliance, and Regulatory domains.
• Drive modernization by migrating to cloud-native Databricks-based architectures.
• Mentor teams and collaborate with stakeholders to translate requirements into solutions.

Skills

Enterprise Data Architecture

Databricks

Apache Spark

Delta Lake

Lakehouse Architecture

Cloud Platforms (Azure/AWS)

Data Modeling

Data Governance

Data Lineage

SQL

Python

Security Architecture (IAM, encryption

Leadership & Stakeholder mgmt

Education

Bachelor's degree or equivalent

Tools

Databricks

Apache Spark

Delta Lake

Lakehouse patterns

Job description

U.S. Bank is seeking a senior Enterprise Data Architect to lead architecture, design, and delivery of data platforms supporting Financial Crime, Risk, and Regulatory functions. You will drive modernization to cloud-native Databricks-based solutions while partnering with business leaders and engineering teams.

The role requires strong leadership, data modeling, governance, and advanced SQL/Python skills to ensure scalable, secure, and compliant data products across the enterprise.