Senior Data Architect

Summary

Join RecargaPay and make a difference in the lives of millions of Brazilians! As a Senior Data Architect, you will design, develop, and implement scalable and secure data architectures. You will define the company's data architecture, create data models, develop data pipelines, and lead data governance initiatives. You will collaborate with cross-functional teams and ensure data efficiency and quality. This role requires expertise in various technologies and methodologies, including data warehousing, cloud computing, and agile methodologies. RecargaPay offers a competitive salary, remote work options, and comprehensive benefits.

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)

Responsibilities

• 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

Preferred Qualifications

• Certifications such as AWS Certified Data Analytics, Google Cloud Professional Data Engineer, Azure Data Engineer Associate
• Visualization and BI tools (Qlik Sense, Tableau)
• Experience with real-time data engineering and serverless architectures
• Knowledge of Machine Learning and AI applied to data

Benefits

• Competitive and market-aligned salary
• Remote work — wherever you are, you’re part of the team!
• Home office allowance through a monthly deposit in the RecargaPay app
• Health and dental plans with no co-pay
• Life insurance
• Flexible meal allowance (via Flash)
• TotalPass membership to take care of your health
• Spanish or Portuguese classes