[Job - 28934] Principal Data Architect, Brazil

We are looking for a Principal Data Architect with strong experience to be part of our team. In this position, you will lead technically and design software solutions, working closely with teams in North America, Brazil and other countries in Latin America.

Responsibilities:
Lead technically the team and enable a multidisciplinary team of data scientists and data engineers to build, enhance, and maintain data products
Work on a variety of projects, for different clients, in different subject matter domains.
Participate in design and architecture discussions.
Collaborate with strategy, customer experience, product and non-technical program management teams.
Ensure that solutions are following security and performance best practices.
Communicate with customer’s team members and align technical solutions.
Understand requirements and make viable technical solutions choosing appropriate frameworks. 
Guarantee a stable and productive development environment.
 
Requirements for this challenge:
Solid experience in architecture design and technical leadership
Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other data products
Solid experience with Cloud (Azure / AWS / GCP)
Experience on Data Platforms (Snowflake, Databricks or similar)
Experience in data pipeline orchestration tools such as Microsoft Data Factory, Apache Airflow or similar
English Advanced/Fluent
  
Nice to Have:
Solid experience on understanding, questioning, prioritizing and translating business problems into data solutions (BI, Analytics, deterministic and statistical models, machine learning)
Experience with complex data modernization engagements
Experience with consultive data assessments
Knowledge of Data Governance principles
Experience with CI/CD and MLOps pipeline
Experience on collaborating with pre-sales, presenting data solutions and demonstrating technical capabilities for non technical audiences
Ability to create proof of concepts and coding complex mechanisms 
Experience on scaling data workloads
Familiarity with AI engagements and Agentic coding

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