Yuno

Data Architect

Reposted 14 Days Ago

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6 Locations

In-Office or Remote

Mid level

Payments

The Role

As a Data Architect, design and evolve Yuno's data architecture, partner with teams for data model creation, lead architecture for data lakes, and enforce data modeling standards.

Summary Generated by Built In

Remote, Latam, Full Time, Individual Contributor, +4 years of experience

Who We Are

At Yuno, we are building the payment infrastructure that enables all companies to participate in the global market. Founded by a team of seasoned experts in the payments and IT industries, Yuno provides a high-performance payment orchestrator. Our technology offers companies access to leading payment capabilities, allowing them to engage customers confidently and maintain global business operations with seamless payment integrations worldwide.

Shape your future with Yuno!

We are Orchestrating the best high-performing team!

If you’re a Data Architect, specialized in end-to-end data architecture and you enjoy solving complex problems with code, developing and you are not afraid of learning new things, we are looking for you.

As a Data Architect you will be part of the team delivering the different parts of our production-ready product, while co-designing and implementing an architecture that can scale up with the product and the company.

🟣 Your challenge at Yuno

• 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.

🟣 Skills you need

Minimum Qualifications

• 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.