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

Ciandt · Brazil
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Brazil
languages
—
tools
aws, azure, databricks
> stack
awsazuredatabricks
> 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.
Apply at Ciandt →