Chief Data Architect

Há 3 dias

Guarulhos, São Paulo, Brasil beBeeDataEngineer Tempo inteiro US$3.000.000 - US$4.000.000

We're on a mission to deliver exceptional payment experiences for Brazilian consumers and small businesses by building a robust digital ecosystem where the banked and unbanked connect.

Our goal is to provide a one-stop shop for all financial needs, serving over 10 million users and processing more than $4 billion annually.

Key Responsibilities:
  • Design and build scalable, secure, and high-performance data architectures in cloud environments, 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.

Solid hands-on experience with cloud platforms (AWS) in data engineering and architecture roles.

A 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.

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