Chief Data Architect

1 semana atrás


Brasil beBeeData Tempo inteiro

Key Responsibilities The ideal candidate will have extensive experience in building and maintaining scalable data pipelines, operationalizing machine learning workflows, and partnering with data scientists to bring models into production. Develop, optimize, and maintain ETL/ELT pipelines using Python, modern data engineering frameworks, and Snowflake as a central data warehouse. Design and manage data workflows, ensuring accuracy, scalability, and reliability. Collaborate with data scientists to deploy, monitor, and tune machine learning models. Develop feature engineering pipelines, preprocessing workflows, and model-serving APIs. Integrate data from various sources (APIs, databases, cloud storage, streaming platforms). Implement MLOps best practices including versioning, CI/CD for ML, and automated retraining workflows. Optimize data storage, compute usage, and performance within Snowflake and cloud-native tools (AWS, GCP, or Azure). Create and maintain documentation, data catalogs, and operational guides. Monitor data system performance and recommend improvements.


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