Arquiteto de Dados e Soluções

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design modern data architectures and technological solutions aligned with business objectives.

• Establish standards for modeling, integration, governance, security, data quality, and compliance with LGPD.

• Create scalable architectures in Cloud environments (Azure, AWS, or GCP), focusing on Lakehouse platforms.

• Develop comprehensive solutions that connect business requirements with technical decisions.

• Define technologies, integrations, APIs, orchestration tools, and architectural patterns.

• Support Data Engineering, Development, and Artificial Intelligence teams.

• Lead technical and strategic decisions, ensuring the performance, sustainability, and evolution of solutions.

• Participate in the construction of environments such as Data Lake, Data Warehouse, and Lakehouse architectures.

• Evaluate and integrate legacy systems and ERPs, such as SAP, into modern data architectures.

• Establish CI/CD practices and versioning for data pipelines (DataOps), with automated testing and controlled deployment.

• Apply FinOps principles to monitor and optimize Cloud infrastructure costs.

⛳️ Requirements

• Solid experience in data architecture and solution architecture.

• Background in designing enterprise architectures and distributed environments.

• Knowledge of Cloud (Azure, AWS, or GCP).

• Proficiency in Data Lake, Data Warehouse, Lakehouse, and data modeling.

• Experience with system integration, APIs, and data platforms, including legacy/ERP systems.

• Understanding of governance, security, data quality, and compliance with LGPD.

• Experience in digital transformation and technological innovation projects.

• Advantages: practical experience with Databricks, Unity Catalog, and Delta Lake.

• Advantages: experience with projects involving Artificial Intelligence and Machine Learning.

• Advantages: knowledge of architectures for Big Data environments.

• Advantages: experience with scalable data and AI solutions in production.

• Advantages: experience with integration of ERP/legacy systems (SAP, ETRM, etc.) in digital transformation contexts.

• Advantages: experience with CI/CD for data using Azure DevOps, GitHub Actions, or equivalent tools.

• Advantages: knowledge of FinOps practices for cost governance in Cloud and Lakehouse environments.

🏝️ Benefits

• The hiring model can be as a PJ (without benefits) or CLT.