Data Architect

2 semanas atrás

São Paulo, Brasil Yuno Tempo inteiro

Join to apply for the Data Architect role at Yuno . 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 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 solutions. 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. What we offer at Yuno Competitive Compensation. Remote work – You can work from anywhere. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

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