[Job-30949] Sr/Principal Data Architect, Brazil

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