[Job-30949] Principal Data Architect, Brazil

Job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. We are looking for a **Senior /** **Principal Data Architect** to lead the design and evolution of modern, scalable, and AI-ready data architectures for complex enterprise environments. This is a senior technical leadership role requiring strong expertise in **Data Architecture, Cloud, modern data platforms, and emerging AI/Agentic approaches for Data**. The ideal candidate will be able to translate complex business requirements into robust technical architectures while providing technical direction and guidance to engineering teams. ### Key Responsibilities - Design and define **scalable, secure, high-performance data architectures** aligned with business and technology strategies. - Act as a **technical reference and architecture leader** for Data Engineering and Analytics teams. - Define architecture patterns, standards, best practices, and technology strategies for modern data platforms. - Design and evolve **Lakehouse / Cloud Data Platform architectures** using modern technologies. - Lead architecture initiatives involving **Databricks and/or Snowflake**. - Design and implement data solutions across **AWS and/or Azure** cloud environments. - Define data integration, ingestion, transformation, storage, governance, security, and consumption patterns. - Evaluate emerging technologies and recommend solutions based on scalability, performance, cost, security, and business value. - Collaborate with Data Engineers, Data Scientists, Analytics teams, Product Managers, and business stakeholders. - Provide technical mentorship and guidance to engineering teams and support architectural decision-making. - Contribute to the definition and implementation of **AI-ready data architectures**, including solutions leveraging **Agents and Agentic approaches for Data**. - Explore and apply **Agentic AI patterns, AI Agents, and SDD (Specification-Driven Development)** in modern data engineering and architecture scenarios. - Ensure architecture decisions follow enterprise standards for **security, governance, quality, scalability, and maintainability**. ### Required Qualifications - **Advanced English – C1 or above**, with strong communication skills in international environments. - Extensive experience in **Data Architecture and Data Engineering**, preferably in complex enterprise environments. - Strong expertise in **Databricks OR Snowflake**. - Strong knowledge of at least one major cloud platform: **AWS OR Azure**. - Strong understanding of modern data architecture patterns, including **Lakehouse, data platforms, data integration, data modeling, and data governance**. - Experience designing end-to-end data solutions and translating business requirements into technical architecture. - Strong knowledge of **AI/Agentic approaches for Data**, including **AI Agents, Agentic Architecture, or Agentic Data solutions**. - Knowledge or practical experience with **SDD (Specification-Driven Development)** and its application to software/data engineering. - Strong architectural decision-making and technical leadership skills. - Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. ### Nice to Have - Experience with **both Databricks and Snowflake**. - Experience with **both AWS and Azure**. - Experience implementing **LLM-powered solutions, AI Agents, or Agentic workflows**. - Experience with frameworks and technologies related to **Generative AI and Agentic AI**. - Experience defining enterprise-level **Data Governance, Security, and Data Quality** strategies. - Experience working with global teams and international clients.