[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 Data Quality strategies.
- Experience working with global teams and international clients.