Chief Data Architect

4 semanas atrás

Manaus, Brasil beBeeData Tempo inteiro
Job Description

We are seeking experienced data professionals to develop and deliver robust, cost-efficient data products that power analytics, reporting and decision-making across two distinct brands.

This role involves building highly consumable and cost-efficient data products by synthesizing data from diverse source systems.

Data will be ingested using Fivetran and Python, staged and enriched in BigQuery to provide consistent, trusted dimensions and metrics for downstream workflows.

The successful candidate will design, maintain, and improve workflows that ensure reliable and consistent data creation, proactively addressing data quality issues and optimizing for performance and cost.

Key Responsibilities:
  • Build highly consumable and cost-efficient data products by synthesizing data from diverse source systems.
  • Ingest raw data using Fivetran and Python, staging and enriching it in BigQuery to provide consistent, trusted dimensions and metrics for downstream workflows.
  • Design, maintain, and improve workflows that ensure reliable and consistent data creation, proactively addressing data quality issues and optimizing for performance and cost.
  • Develop LookML Views and Models to democratize access to data products and enable self-service analytics in Looker.
  • Deliver ad hoc SQL reports and support business users with timely insights.
  • (Secondary) Implement simple machine learning features into data products using tools like BQML.
  • Build and maintain Looker dashboards and reports to surface key metrics and trends.
Required Skills and Qualifications

We are looking for individuals with strong proficiency in Python for data ingestion and workflow development.

A solid understanding of data modeling, pipeline design and data quality best practices is essential.

The ideal candidate should have hands-on expertise with BigQuery, dbt, Airflow and Looker.

What We're Looking For
  • Proven experience building and managing data products in modern cloud environments (GCP preferred).
  • Strong proficiency in Python for data ingestion and workflow development.
  • Hands-on expertise with BigQuery, dbt, Airflow and Looker.
  • Solid understanding of data modeling, pipeline design and data quality best practices.
  • Excellent communication skills and a track record of effective collaboration across technical and non-technical teams.
Benefits

We offer a competitive salary, fully remote work environment, better me fund, compassion is badass culture, and many more perks.

About Us

We are a global community with a mission to build top-tier engineering teams to support some of the world's most innovative companies.

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