Yuno
Fintech • Enterprise • SaaS
Yuno is a company that provides payment orchestration and infrastructure solutions on a global scale. Their technology empowers businesses to integrate over 300 payment methods, boosting acceptance rates and enabling seamless scaling of payment operations across multiple regions. Yuno focuses on providing a simplified payment process with features like smart routing, unified payment insights, auto reconciliation, and custom checkout options. They emphasize security and fraud management, ensuring safe transactions. Yuno facilitates global payouts and subscription management, making them an ideal partner for businesses looking to optimize their payment systems and increase revenue.
Head of Data Engineering
November 20
🗣️🇪🇸 Spanish Required
Yuno
Fintech • Enterprise • SaaS
Yuno is a company that provides payment orchestration and infrastructure solutions on a global scale. Their technology empowers businesses to integrate over 300 payment methods, boosting acceptance rates and enabling seamless scaling of payment operations across multiple regions. Yuno focuses on providing a simplified payment process with features like smart routing, unified payment insights, auto reconciliation, and custom checkout options. They emphasize security and fraud management, ensuring safe transactions. Yuno facilitates global payouts and subscription management, making them an ideal partner for businesses looking to optimize their payment systems and increase revenue.
📋 Description
• Lead and mentor cross-functional teams including engineers, scientists, analysts, and BI professionals. • Design and oversee the architecture of Yuno’s data infrastructure, ensuring scalability, reliability, and high performance across all data pipelines. • Monitor data health metrics and lead remediation of critical data issues. • Architect scalable infrastructure including data lakes, warehouses, and pipelines. • Ensure high availability, security, and performance of platforms (e.g. Snowflake, AWS). • Drive automation and observability to reduce downtime and improve operational efficiency. • Define and execute the enterprise data integration strategy and roadmap. • Lead adoption of cloud-native and hybrid integration tools. • Champion modern integration patterns including data mesh, API-led connectivity, and event-driven architectures.
🎯 Requirements
• Fluent in Spanish and English. • Bachelor's degree in Computer Science, Statistics, or related field, OR equivalent real-world experience in data roles • 8+ years of engineering leadership with 3+ years managing managers across data-heavy backend teams (or an equivalent track record of shipping production data systems at internet scale). • Track record of shipping production data systems at massive scale. • Experience with modern data stack (SQL, Python, dbt, BigQuery, Looker, etc.) • Experience with APIs, integrations with third-party systems, and batch/streaming data processing.
🏖️ Benefits
• Competitive Compensation • Remote work - You can work from everywhere! • Home Office Bonus - We offer a one time allowance to help you create your ideal home office. • Stock options • Health Plan wherever you are • Flexible Days off • Language, Professional and Personal growth courses
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