Arquiteto(a) de Dados Sênior - Databricks & Azure - Inglês Fluente

Design and implement modern data architectures based on Lakehouse using Databricks and Delta Lake. Develop and evolve scalable data pipelines using PySpark. Define data engineering standards, quality, governance, and best practices for technology teams. Support Analytics, BI, and Data Science initiatives, ensuring observability and high availability of data environments.

Solid experience in Databricks, PySpark, and Lakehouse architecture. Experience with Delta Lake, Delta Tables, and large-scale data processing. Fluent English for working in a global environment. Strong communication skills and ability to engage with senior stakeholders.

The company offers 100% subsidized health insurance for employees and dependents, meal vouchers without deductions, life insurance, private pension, and various wellness programs. Additional benefits include extended maternity and paternity leave, stock purchase options at a discount, and partnerships with language schools.