Microsoft Data Architect Position

1 dia atrás


Curitiba, Paraná, Brasil beBeeData Tempo inteiro R$160.000 - R$220.000
About Us

We are seeking a senior, autonomous Microsoft Data Architect to lead data strategy and architecture for one of our high-impact startup clients.

This role is perfect for someone who thrives on solving complex data challenges, enjoys working with cutting-edge tools, and wants to make a direct impact in a fast-moving environment.

Responsibilities
  • Design and build data platforms using Microsoft Fabric (Synapse, OneLake, etc.).
  • Develop scalable pipelines with Azure Data Factory.
  • Optimize data performance using Delta/Parquet, partitioning, and Spark.
  • Model data into easy-to-use structures (star schema, dimensional modeling).
  • Ensure governance and security with Purview, RBAC, ACLs, and related frameworks.
  • Automate deployments with CI/CD for data pipelines.
Required Skills and Qualifications
  • 15+ years in data engineering/architecture (Principal-level).
  • Deep Microsoft expertise: Fabric, Synapse, OneLake (1+ year).
  • Hands-on experience:
  • Azure Data Factory (2+ years)
  • Delta/Parquet optimization, Spark (5+ years)
  • Dimensional modeling/star schema (5+ years)
  • Data governance/security (3+ years)
  • CI/CD pipelines for data (2+ years)
Benefits
  • Work with a fast-growing startup where your decisions will directly shape the data foundation.
  • Join a team that values autonomy, innovation, and impact.
  • Be at the forefront of Microsoft's new Fabric ecosystem.
  • 100% remote and flexible.

Why Choose This Role?

This is a unique opportunity to work with a cutting-edge technology and make a significant impact in a fast-paced environment. If you are passionate about data engineering and want to be part of a dynamic team, this is the ideal role for you.

The successful candidate will have the opportunity to design and implement data platforms using Microsoft Fabric, develop scalable pipelines with Azure Data Factory, and optimize data performance using Delta/Parquet, partitioning, and Spark.



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