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

CI&TBrazil🌍 Remote
Full-time7-15
👁️ 0 views📝 0 applicationsPosted 8/21/2026Expires 10/20/2026
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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

Required Skills

Data ArchitectureCloudData EngineeringAnalyticsLakehouseCloud Data PlatformDatabricksSnowflakeAWSAzureData IntegrationData IngestionData TransformationData StorageData GovernanceData SecurityData ConsumptionAIAgentic SDLCApplication ModernizationMartechBusiness Strategy

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