Data and Solutions Architect

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

📋 Description

• Develop contemporary data architectures and technology solutions that align with business goals.

• Remove data silos and establish a unified source of truth for strategic decision-making.

• Set standards for data modeling, integration, governance, security, data quality, and adherence to the LGPD (Brazilian General Data Protection Law).

• Construct scalable architectures in Cloud environments (Azure, AWS, or GCP), emphasizing Lakehouse platforms.

• Design comprehensive solutions that link business needs to technical decisions.

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

• Provide support to Data Engineering, Development, and Artificial Intelligence teams.

• Direct technical and strategic choices, ensuring performance, sustainability, and solution advancement.

• Engage in the development of Data Lake, Data Warehouse, and Lakehouse environments.

• Assess and incorporate legacy systems and ERPs, such as SAP, into contemporary data architectures.

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

• Implement FinOps principles to oversee and optimize Cloud infrastructure expenses.

⛳️ Requirements

• Extensive experience in data architecture and solution architecture.

• Proven experience in designing enterprise architectures and distributed environments.

• Familiarity with Cloud platforms (Azure, AWS, or GCP).

• Expertise in Data Lake, Data Warehouse, Lakehouse concepts, and data modeling.

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

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

• Background in digital transformation and technology innovation projects.

• Preferred: Practical experience with Databricks, Unity Catalog, and Delta Lake.

• Preferred: Involvement in projects related to Artificial Intelligence and Machine Learning.

• Preferred: Understanding of architectures for Big Data environments.

• Preferred: Experience in delivering scalable data and AI solutions in production.

• Preferred: Experience with integrating ERP/legacy systems (SAP, ETRM, etc.) in digital transformation initiatives.

• Preferred: Familiarity with CI/CD processes for data using Azure DevOps, GitHub Actions, or similar tools.

• Preferred: Knowledge of FinOps practices for cost governance in Cloud and Lakehouse settings.

🏝️ Benefits

• Contract type: PJ (independent contractor, no benefits) or CLT (formal employment).