Full-Time Sr Data Architect

Come and impact millions of Brazilians!

Want to make a difference in the lives of millions of Brazilians? At RecargaPay, we create accessible and innovative financial solutions that transform the way people interact with money. Be part of this impactful and innovative journey, connecting people with opportunities that truly make a difference in their daily lives.

Our purpose is to deliver the best mobile payment experience for Brazilians, addressing real-world challenges with smart solutions like Pix Parcelado, while staying attentive to market trends and our customers' needs.

Here, we value collaboration, ownership, and a relentless pursuit of results, delivering excellence in every interaction.

If you’re looking to join a dynamic environment that challenges the status quo and puts people at the center of decision-making, RecargaPay is the perfect place for you to grow, co-create, and make a difference!

Key Responsibilities:

• The Senior Data Architect is responsible for designing, developing, and implementing scalable, secure, and efficient data architectures to meet the organization's strategic needs.
• They ensure data governance, process optimization, and system integration, contributing to data-driven decision-making.
• Define and design the company's data architecture, aligned with best practices and business needs.
• Create conceptual, logical, and physical data models, ensuring data structuring and integrity.
• Develop robust and scalable data pipelines, optimizing ETL/ELT processes for Big Data and Data Warehousing.
• Lead data governance initiatives, establishing quality, security, and compliance policies (LGPD, GDPR).
• Ensure interoperability between systems and platforms, creating architectures that enable integration across multiple data sources.
• Support the selection of technologies and tools for data storage, processing, and analysis (Data Lakes, Data Warehouses, Cloud, etc.).
• Collaborate with cross-functional teams (Data Engineers, Data Scientists, BI Analysts) to ensure data efficiency and quality.
• Conduct audits and optimizations to improve the performance of databases and data solutions.
• Document processes, architecture, and data standards to ensure reproducibility and maintenance.
• Act as a technical mentor, training other professionals and ensuring the dissemination of best practices in data architecture.

Requirements:

• Data Modeling (conceptual, logical, and physical)
• SQL and NoSQL Databases (PostgreSQL, MySQL, Oracle, ElasticSearch)
• Data Warehousing and Data Lakes Architecture (Snowflake, Redshift, BigQuery, Hadoop)
• ETL/ELT and Data Integration (Apache Airflow, DBT)
• Big Data and Distributed Processing (Spark, Kafka, Flink, Databricks)
• Cloud Computing (AWS, Azure, Google Cloud – services like S3, Glue, Data Factory, BigQuery)
• Data Security and Governance (LGPD, GDPR, RBAC, data encryption)
• APIs and System Integration (REST, GraphQL, gRPC)
• Agile Methodologies (Scrum, Kanban)

What is the last date for applying to the job?

Which countries are accepted for this remote job?