Data Architect

October 29

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Yuno

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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.

11 - 50 employees

💳 Fintech

🏢 Enterprise

☁️ SaaS

📋 Description

• Design, document, and evolve Yuno’s end-to-end data architecture, from real-time ingestion to analytical serving layers. • Partner with Data Engineering, Analytics, and Product teams to build reliable, governed, and scalable data models. • Lead architecture and optimization for data lake, warehouse, and real-time pipelines (Hudi, StarRocks, Flink, Glue, Athena, etc.). • Define and enforce data modeling and transformation standards in DBT, including documentation, testing, and versioning practices. • Collaborate with software engineers to ensure data quality, lineage, and consistency across operational and analytical systems. • Establish best practices for cost optimization, observability, and scalability in AWS. • Evaluate and introduce new technologies to improve developer productivity and data reliability. • Build solutions for application integrations, task automation and any relevant data automation using proven design patterns. • Build and maintain the infrastructure required for extraction, loading, transformation and storage of data from multiple data sources using custom scripted.

🎯 Requirements

• Proven experience as a Data Engineer or similar role in a data-intensive environment. • Strong proficiency in Java/Python and SQL. • Proficiency in working with Data Lake House. • Knowledge of data infrastructure design and management. • Familiarity with data governance principles and practices. • Experience with ETL processes and tools. • Familiarity with big data technologies and distributed data systems. • Ability to integrate data from multiple sources. • Knowledge of Spark & DBT. • Verbal and written English fluency.

🏖️ 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. • Work equipment • Stock options • Health Plan wherever you are • Flexible Days off • Language, Professional and Personal growth courses