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Vagas: architect - Campinas, SP

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Job Post Details

Data Architect

Ben Fatto
2.0 de 5 estrelas
Campinas, SP
Home Office

Dados da vaga

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Tipo de vaga

  • Tempo integral

Descrição completa da vaga

We are seeking a highly skilled and experienced Platform Data Architect to build and maintain our next-generation data platform. This role requires a deep understanding of cloud-native technologies and a strong ability to architect solutions that support multiple products and teams within a complex, integrated environment. You will be a key player in defining and implementing our data strategy, ensuring data quality, scalability, and security across our entire platform. This is a hands-on role requiring collaboration with various engineering and product teams.

Responsibilities:

  • Implement a scalable, reliable, and secure data platform architecture leveraging cloud-native services (GCP, Fivetran, Dataflow, Pub/Sub, BigQuery or equivalent).
  • Define and implement data governance policies and procedures, including data quality, security, and access control (e.g., Data Catalog, Collibra, Alation, Dataplex).
  • Optimize SQL queries and database performance across relational and NoSQL databases.
  • Design and implement data warehousing/lakehouse solutions.
  • Clearly articulate chosen platform(s) and technologies.
  • Collaborate with product and engineering teams to gather requirements, translate them into technical specifications, and deliver solutions.
  • Develop and maintain technical documentation for the data platform.
  • Mentor and guide junior data engineers and architects.
  • Participate in Agile software development processes.


  • 5+ years of experience as a Data Architect, with a minimum of 3 years specifically focused on platform-level data architecture in a microservices or distributed system environment. (This emphasizes platform expertise)
  • Extensive experience with cloud-native technologies, specifically GCP, AWS or Azure.
  • Deep understanding and hands-on experience implementing data governance frameworks and using associated tools, e.g. Data Catalog, Collibra, Alation.
  • Proven experience designing backend data solutions for high-performing RESTful APIs.
  • Expert-level proficiency in SQL and database performance tuning across relational (PostgreSQL, MSSQL, MySQL) and NoSQL databases.
  • Proficiency in at least two programming languages (Java, C#, Python preferred). Shell scripting experience is required.
  • Experience with Big Data technologies and Massively Parallel Processing databases (BigQuery, Snowflake, Synapse).
  • Experience with multi-tenanted data environments.
  • Strong understanding of data modeling techniques (relational, dimensional, NoSQL). Experience with various data schemas (ontologies, taxonomies, DTDs).
  • Experience with Agile methodologies (Scrum, Kanban).
  • Excellent communication, collaboration, and documentation skills.

Bonus Points:

  • Experience with data observability tools (e.g., Monte Carlo, DataDog).
  • Experience with CI/CD pipelines for data infrastructure.
  • Experience with data mesh principles.

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