Job Summary: The Senior Data Administrator will be responsible for data modeling and management, developing scalable and secure data pipelines, and supporting the evolution of the corporate data platform. Key Highlights: 1. Be part of one of Brazil's top technology companies 2. Work on data modeling and pipeline management in Azure 3. Investment in talent development and innovation As a **Senior Data Administrator** at Montreal, you will join one of Brazil’s leading technology companies. Our journey began over thirty years ago with a small team of engineers passionate about innovation. In 1986, visionary individuals committed to technology and its power to transform the world. That was only the beginning of a trajectory that has established us as a solid market reference and one of the best companies to work for. **Responsibilities and Duties** A professional employed by the **CONTRACTOR**, performing data modeling activities, responsible for designing logical and physical data models—including primary and foreign keys, indexes, *views*, etc.—and possessing knowledge of data visualization tools, data mining, and ETL. **Requirements and Qualifications** **Responsibilities:** Develop and manage scalable and secure data pipelines in Azure Synapse Analytics and Azure Data Lake Storage Gen2 (ADLS Gen2); Process large volumes of data using Python, SQL, and PySpark; Develop robust, scalable, and sustainable automations for systems, APIs, web applications, and file manipulation; Support the construction and evolution of the corporate data platform using Microsoft Fabric, promoting sound data governance practices from data origin through consumption; Document developed solutions and support monitoring, error control, and maintenance; Propose and implement continuous improvements in data processes and automation. **Mandatory Requirements:** Completed higher education degree (technologist, undergraduate, and/or lato sensu postgraduate and/or stricto sensu postgraduate) in Information Technology. Proven experience in Azure data engineering; Knowledge of data modeling, ETL/ELT, data lineage, and metadata; Familiarity with data governance frameworks and practices, such as Data Catalog, Data Lineage, and Data Quality; Experience with languages such as SQL, Python, and/or PySpark for data manipulation. **Preferred Qualifications:** Experience implementing Microsoft Fabric projects. **Additional Information** In continuous development, we foster a collaborative, respectful, and accessible environment. **We invest in talent development** and in implementing practices that optimize and connect diverse technological and innovative aspects.