Data Architect

Description

Job Summary: Data professional for architecture and engineering, with focus on ETL/ELT, data governance, Data Lakes, and integration within the Azure environment. Key Highlights: 1. Experience in data architecture and engineering 2. Knowledge of data governance and LGPD 3. Ability to design and optimize Data Lake structures Description: Valid diploma issued in national territory, from an undergraduate program in Information Technology or from an undergraduate program with a mathematical foundation—Engineering, Statistics, Physics, or Mathematics; or Valid diploma issued in national territory, from an undergraduate program without a mathematical foundation, plus a postgraduate degree in Information Technology. Professional Experience: * Experience in data architecture and engineering (or similar) and creation of ETL/ELT pipelines * Knowledge of data governance and compliance with regulations, including LGPD and other applicable regulations * Ability to design and optimize Data Lake structures * Experience in data storage and modeling in Azure SQL * Experience in integrating heterogeneous data sources and distributed solutions * Experience with version control tools * Experience with services using Microsoft Azure tools: ADF, Synapse, Data Lake Gen 2, Databricks, or Fabric. * Design ETL/ELT pipelines and integration workflows between systems; * Structure Data Lakes and relational and analytical data models; * Ensure compliance with standards and legislation, including LGPD; * Promote interoperability among heterogeneous data sources; * Implement scalable solutions in Azure Data Factory, Synapse, Databricks, or Fabric. 2511130202461866318