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Sr. Data Engineer (HR) at RecargaPay. Come Make an Impact on Millions of Brazilians!. At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.. We serve over 10 million users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.. Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.. We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what’s possible.. If you’re ready to do your best work, at scale, with purpose — this is your place.. Responsibilities:. We are seeking a highly skilled Senior Data Engineer to join our Team.The Senior Data Engineer will handle the construction and optimization of secure, scalable, and high-performance data architectures, ensuring that data flows reliably and efficiently across multiple systems to meet stringent regulatory, compliance, and business demands.. . Design and build scalable, secure, and high-performance data architectures in cloud environments (AWS), applying architectural patterns like Lambda Architecture and domain-driven design.. . Model data across conceptual, logical, and physical levels using dbt and ER modeling tools, ensuring data integrity, consistency, and alignment with architectural standards.. . Develop optimized data structures to support regulatory reporting, analytics, and operational workloads with a strong focus on reliability and compliance.. . Design, build, and maintain batch and real-time data pipelines using Airflow, Kafka, and Spark, integrating structured and unstructured data from multiple sources with low latency and high availability.. . Optimize data ingestion, transformation, and delivery workflows to ensure timely and accurate regulatory reporting.. . Build and manage scalable data platforms, including Data Lakes, Data Warehouses, and Lakehouses, utilizing technologies such as Snowflake, Redshift, and Delta Lake.. . Continuously monitor and optimize platforms for performance, scalability, and cost-effectiveness.. . Orchestrate complex workflows and automate data processes using Airflow, Databricks, or equivalent orchestration tools.. . Implement best practices for pipeline modularization, versioning (Git), and active monitoring to ensure robustness and maintainability.. . Implement layered security measures across data platforms, including encryption, RBAC, data masking, and auditing practices, leveraging tools like Ranger, IAM, and cloud-native solutions.. . Ensure compliance with internal and external governance, security, and regulatory requirements across all data processes.. . Document data flows, technical standards, architecture decisions, and operational procedures clearly and effectively.. . Mentor and support other engineers in adopting engineering best practices, ensuring a high level of technical excellence and consistency across the team.. . Solid hands-on experience with cloud platforms (AWS) in data engineering and architecture roles.. . Strong background in data modeling with practical experience using dbt, ER modeling tools, and advanced SQL techniques.. . Advanced knowledge of batch and streaming data processing frameworks (Airflow, Kafka, Spark).. . Proficient in managing data storage and processing solutions such as Snowflake, Redshift, and Delta Lake.. . Expertise in orchestration tools and CI/CD practices (Airflow, Databricks, Git).. . Deep understanding of data security principles, data masking, encryption, access control, and governance frameworks.. . Excellent problem-solving skills, technical leadership, and the ability to communicate effectively with cross-functional stakeholders.. . Experience working in regulatory, financial, or compliance-focused environments is a plus.. . Company Location: Brazil.