Credit Risk Data Platform Lead (Python/SQL)

Us Bank; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Job summary

U.S. Bank in Warsaw invites applications for a Data Lead role focused on Credit Risk data modernization. You will lead data product initiatives, develop scalable data solutions with SQL, Python, and Databricks, and collaborate with Enterprise Data Office and Technology to advance cloud-based architectures.

The position emphasizes governance, data quality, and production support across complex environments, with growth into leadership of data preparation and maintenance activities.

Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent work experience.
• 8+ years of experience in data, analytics, reporting, or technology-related roles.
• Experience leading projects, initiatives, or small teams, including coordinating work across stakeholders.
• Strong SQL and Python programming skills, including experience writing production‑ready code with testing, documentation, Git‑based version control, and operational support considerations.
• Experience with Databricks, Snowflake, Azure, AWS or other cloud‑based data platforms.
• Strong understanding of data architecture, database design, data modeling and data management concepts.
• Experience working with large‑scale datasets and complex data transformation.
• Experience supporting data modernization, migration, cloud transformation or data platform implementation initiatives.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Ability to translate business requirements into scalable technical solutions and manage stakeholder expectations.
• Ability to operate effectively in both project‑based modernization initiatives and ongoing production support environments.
• Experience in Credit Risk, Regulatory Reporting, Banking, or Financial Services, for example supporting CCAR, CECL, forecasting, regulatory reporting, or modeling processes.
• Experience with data quality, reconciliation, controls, and testing frameworks.
• Experience working within data production, operational support, reconciliation, or model production data processes.
• Experience leading or coordinating offshore and distributed delivery teams.
• Experience developing reusable Python frameworks, automation solutions, and data pipelines.
• Experience working with CI/CD pipelines and deployment processes for data applications and data products.

Responsibilities

• Partner with business stakeholders, Enterprise Data Office and Technology to support Credit Risk data product initiatives for reporting, forecasting, modeling, and regulatory needs.
• Support the development of portfolio and cross-portfolio Credit Risk Data Products, ensuring data is trusted, governed, and aligned with business needs.
• 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, define data requirements, and support future-state Credit Risk data architectures.
• Develop and enhance data transformation, validation, reconciliation, and automation processes to improve efficiency, scalability, and data quality.
• Create reusable code frameworks, migration patterns, and best practices to accelerate modernization efforts across the organization.
• Modernize Credit Risk data processes by migrating legacy SAS-based solutions to SQL/Python and Databricks.
• Contribute to data governance activities including data quality, lineage, controls, and documentation.
• Create and maintain technical documentation, playbooks, and training materials to support knowledge sharing and operational consistency.
• Identify opportunities to leverage automation, AI, and machine learning to simplify processes, enhance data quality checks, and improve decision-making.
• Support the transition of production data processes from legacy platforms to modern cloud-based solutions, ensuring operational stability, data quality, and regulatory compliance throughout the migration.
• Develop deep knowledge of Credit Risk data products and production processes, progressively assuming leadership responsibility for production data preparation and maintenance activities while helping establish a sustainable operating framework.

Skills

SQL

Python

Data modeling

Data governance

Cloud platforms

CI/CD

Leadership

Stakeholder comms

Education

Bachelor's degree or equivalent

Tools

Databricks

Snowflake

Azure

AWS

Job description

U.S. Bank in Warsaw invites applications for a Data Lead role focused on Credit Risk data modernization. You will lead data product initiatives, develop scalable data solutions with SQL, Python, and Databricks, and collaborate with Enterprise Data Office and Technology to advance cloud-based architectures.

The position emphasizes governance, data quality, and production support across complex environments, with growth into leadership of data preparation and maintenance activities.