Credit Risk Data Lead - SQL, Python & Databricks

U.S. Bank; Warszawa; Hybrid; PLN 260,000 - 420,000; Full time

Job summary

U.S. Bank is expanding its Credit Risk Data Strategy team in Warsaw with a Data Lead who will drive data modernization initiatives. The role focuses on transitioning from legacy SAS platforms to a cloud-based stack including Databricks, SQL, and Python, coordinating with Enterprise Data Office and Technology.

The ideal candidate brings 8+ years in data analytics, strong SQL/Python production code, and experience with cloud data platforms, governance, and scalable data products.

Qualifications

• 8+ years of experience in data, analytics, reporting, or technology-related roles.
• Strong SQL and Python programming skills, including production-ready code, testing, and version control.
• Experience with Databricks, Snowflake, Azure, AWS or other cloud-based data platforms.

Responsibilities

• Partner with business stakeholders and Technology to support Credit Risk data product initiatives for reporting, forecasting, modeling, and regulatory needs.
• Develop portfolio and cross-portfolio Credit Risk Data Products ensuring data is trusted and governed.
• Design, develop, and maintain scalable data solutions using SQL, Python, Databricks, and other modern data technologies.
• Collaborate with Technology teams to onboard source-system data and define data requirements for future-state architectures.
• Enhance data transformation, validation, reconciliation, and automation to improve quality and efficiency.
• Create reusable code frameworks and migration patterns to accelerate modernization across the organization.
• Migrate legacy SAS-based solutions to SQL/Python and Databricks; contribute to data governance and documentation.

Skills

SQL

Python

Leadership

Stakeholder management

Communication

Analytical thinking

Education

Bachelor’s degree in Information Systems or related field

Tools

Databricks

Snowflake

Azure

AWS

Git

Job description

U.S. Bank is expanding its Credit Risk Data Strategy team in Warsaw with a Data Lead who will drive data modernization initiatives. The role focuses on transitioning from legacy SAS platforms to a cloud-based stack including Databricks, SQL, and Python, coordinating with Enterprise Data Office and Technology.

The ideal candidate brings 8+ years in data analytics, strong SQL/Python production code, and experience with cloud data platforms, governance, and scalable data products.