Chief Data Architect

Há 2 dias

Buenos Aires Espírito Santo Brazil beBeeDataLeader Tempo inteiro US$180.000 - US$250.000
Job Overview

This is a remote full-time position that involves leading the design, implementation, and maintenance of data infrastructure and code required for data integration, storage, processing, pipelines, and analytics from ingestion to consumption.

The ideal candidate will be responsible for implementing data flow controls, ensuring high data quality and accessibility for analytics and business intelligence purposes.

As a leader in Data & Analytics, you will help define the backlog, make architecture decisions, and lead technical work with minimal oversight.

Key Responsibilities
  • Design and implement highly scalable and efficient data architectures, defining and maintaining standards and best practices for data management independently
  • Ensure the scalability, reliability, quality, and performance of data systems
  • Mentor and guide junior/mid-level data engineers
  • Collaborate with Product, Engineering, Data Scientists, and Analysts to understand data requirements and develop data solutions, including reusable components
  • Evaluate and implement new technologies and tools to improve data integration, data processing, and analysis
Requirements
  • Full-time Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
  • 5+ years of real-world data engineering development experience in AWS and GCP (certifications preferred)
  • Strong expertise in Python, SQL, PySpark, and AWS in an Agile environment, with a proven track record of building and optimizing data pipelines, architectures, and datasets

A strong understanding of Agile environments, cloud computing, and data modeling is essential for this role.

Qualifications/Skill Set
  • Senior person who can understand requirements and design end-to-end solutions with minimal oversight
  • Strong programming skills in one or more languages such as Python, Scala, and proficient in writing efficient and optimized code for data integration, storage, processing, and manipulation
  • Good understanding of Data Modeling and Database Design Principles
  • Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse, and writing advanced SQL queries
  • Skilled in Data Integration from different sources such as APIs, databases, flat files, event streaming
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc., is a plus
Why This Role?

This role offers a unique opportunity to lead data engineering efforts and contribute to the migration from AWS to GCP.

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