Principal Data Architect, Brazil

CI&T

Brasil

On-site

BRL 260,000 - 420,000

Full time

14 days+

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Benefits offered by this job

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Wellness partnerships (Wellhub/Gympass
Profit Sharing and Results
Life insurance
CI&T University
Discount club
Well-being platform
Language learning platform

Job summary

CI&T is seeking a Senior/Principal Data Architect to lead design and evolution of scalable, AI-ready data architectures for complex enterprise environments. You will translate business needs into robust technical architectures and guide engineering teams across Data Engineering, Analytics, and AI initiatives.

Key focus areas include Lakehouse/Cloud Data Platform patterns, Databricks and Snowflake, and AWS or Azure deployments, while ensuring security, governance, and scalability in global

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 AWS OR Azure cloud platforms.
  • 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).
  • Strong architectural decision-making and technical leadership skills.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Responsibilities

  • Design 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 scalable, cost-effective solutions.
  • Collaborate with Data Engineers, Data Scientists, Analytics teams, Product Managers, and stakeholders.
  • Provide technical mentorship and guidance to engineering teams and support architectural decision-making.
  • Contribute to AI-ready data architectures including Agents and Agentic approaches for Data.
  • Explore and apply Agentic AI patterns, AI Agents, and SDD in data engineering and architecture.
  • Ensure decisions follow security, governance, quality, scalability, and maintainability standards.

Skills

Advanced English (C1)
Data Architecture
Data Engineering
Databricks
Snowflake
Cloud platforms (AWS/Azure)
AI/Agentic data
SDD (Specification-Driven Development)
Technical leadership
Architecture decision making

Tools

Databricks
Snowflake
AWS
Azure
Lakehouse
Data Governance

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.

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
Our benefits:
  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
  • Profit Sharing and Results Participation (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

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