Staff Software Engineer, Data

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team!

About the Role

As a Staff Software Engineer (Data) , you will be the technical cornerstone of our data ecosystem. At Nu, we don't just "move data" we build the foundational platforms that empower analysts, ML engineers, and product leaders to make the decisions that drive financial inclusion for millions.

You will own the data infrastructure for your domain, tackling highly complex and ambiguous challenges that span multiple departments. You aren't just a builder; you are a strategist who identifies data gaps before they become bottlenecks and treats data quality as a mission critical product. You will set the technical bar for the entire function, ensuring that downstream trust remains unbreakable as we scale.

Responsibilities

• Architect Data Excellence: Design and evolve high scale data platforms, storage solutions, and transformation patterns that serve as the "gold standard" for the organization.
• Drive Technical Strategy: Define the long term roadmap for data infrastructure, balancing immediate business needs with a 6–12 month strategic horizon.
• Champion Data Contracts: Lead the implementation of robust data contracts and schema evolution practices to ensure reliability across global product teams.
• Solve Complex Ambiguity: Troubleshoot and resolve the most challenging technical bottlenecks in our data pipelines, improving system observability and performance at scale.
• Empower the Function: Act as a key technical advisor for senior leadership, helping to shape strategic investments in our data stack.
• Mentor and Scale: Raise the technical bar by mentoring senior engineers, leading cross functional task forces, and fostering a culture of engineering excellence and data driven decision making.
• Operational Leadership: Pioneer architectural patterns that become reference implementations for the entire company.

Qualifications

Required:

• Extensive Technical Leadership: Proven experience leading large scale data engineering initiatives in global, high-growth technology environments.
• Expertise in Distribute