Data Architect

Há 6 dias


São Paulo, São Paulo, Brasil beBeeData Trabalho remoto Freelance Tempo inteiro US$125.000 - US$175.000

Our organization is seeking a skilled professional to fill the role of Data Architect.

Job Summary:

We are looking for an expert who can design, build, and maintain modern data infrastructure. The ideal candidate will have experience with dbt, Airflow, and cloud-based data platforms.

Key Responsibilities:
  • Design, develop, and optimize ETL/ELT pipelines using dbt and Apache Airflow to transform raw payment and customer data into usable datasets.
  • Create and maintain data models that support analytics, dashboards, and data science workflows.
  • Collaborate closely with engineering, product, and analytics teams to define data needs and deliver reliable, scalable solutions.
  • Monitor and improve the performance, reliability, and scalability of data pipelines.
  • Implement data quality checks, anomaly detection, and alerts to ensure trust in our data.
  • Manage and optimize usage of our cloud data warehouse (e.g., Snowflake, BigQuery, or Redshift).
Requirements:
  • 3+ years of experience as a Data Engineer or in a similar role working with modern data tools.
  • Strong experience with dbt for data modeling and transformation.
  • Proficiency with Airflow or other orchestration tools.
  • Deep understanding of SQL and data warehousing concepts.
  • Experience with cloud-based data warehouses
  • Solid programming skills in Python for data pipeline development and automation.
  • Strong grasp of data architecture, including building for scale, modularity, and maintainability.
  • Familiarity with version control (Git) and CI/CD workflows in a data engineering context.
PREFERRED SKILLS:
  • Experience working with payments data, such as transaction logs, settlement files, or ledger systems.
  • Familiarity with tools for data observability and monitoring (e.g., Monte Carlo, Great Expectations).
  • Exposure to real-time or near-real-time data processing frameworks (e.g., Kafka, Spark Streaming).


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