[Job - 30217] Senior 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.

At CI&T, we are expanding our data and AI capabilities to deliver transformative solutions for our global clients. We are seeking a Senior Data Architect who will serve as a trusted technical advisor, bridging business strategy and cutting-edge cloud architecture. This role is critical in enabling our clients to modernize their data infrastructure, unlock AI-driven insights, and build scalable, future-ready data platforms. The Senior Data Architect will lead the design and implementation of cloud-native data architectures, with a strong emphasis on AWS-based solutions and AI/ML readiness. This position requires a blend of deep technical expertise, strategic thinking, and exceptional client relationship management. You will work at the intersection of legacy system transformation and modern data platform design, guiding cross-functional teams through complex architectural decisions while keeping business objectives at the forefront. This engagement is part of a broader AI-first hyper-personalization initiative, requiring an architect who treats AI and ML workloads as first-class use cases from day one.

Responsibilities: Client Advisory & Strategic Alignment Drive architectural strategy discussions with client leadership to ensure data platform initiatives align with business objectives and deliver measurable value Act as the senior technical voice in client engagements, translating complex architectural decisions into business outcomes for both technical and executive audiences Manage client relationships from an architectural perspective, building trust through technical excellence and strategic insight Technical Leadership & Team Enablement Lead cross-functional teams of data engineers, data scientists, and analytics specialists in designing and deploying scalable, cloud-native data platforms Support teams in planning and execution, providing architectural guidance and removing technical blockers throughout the delivery lifecycle Mentor team members on cloud architecture best practices, data modeling principles, and emerging technologies Cloud Architecture & Modernization Design and implement robust AWS-based data lake architectures using Medallion (Bronze/Silver/Gold) patterns, managing trade-offs in storage strategies, partitioning schemes, and schema evolution Lead the transition of legacy data structures and systems to modern cloud platforms, developing migration strategies that minimize risk and maximize business continuity Architect solutions that balance performance, cost, scalability, and maintainability across complex data ecosystems Business-to-Data Translation Partner with Data & Analytics Managers and business stakeholders to translate business requirements into feasible, scalable architectural decisions Define data models, integration patterns, and platform capabilities that directly support business use cases and analytics needs Navigate complex, siloed data landscapes to design practical solutions that deliver value incrementally AI/ML-Ready Platform Design Design data platforms that natively support AI and ML workloads, including feature engineering pipelines, feature stores, model training data preparation, and inference serving infrastructure Architect MLOps capabilities as a core platform component, not an afterthought, ensuring seamless integration of machine learning lifecycle management Implement solutions leveraging agentic AI technologies to optimize data management, automate data quality workflows, and enhance analytics capabilities Governance & Data Mesh Implementation Advise on governance models (centralized vs. federated) appropriate to organizational structure and data maturity Implement Data Mesh principles to enable domain-oriented ownership while maintaining platform-level standards and interoperability Define data quality frameworks, metadata management strategies, and security/privacy controls that scale across distributed architectures Innovation & AI-First Approach Integrate AI tools and methodologies into daily architectural work, demonstrating innovative approaches to design, documentation, and problem-solving Stay current with emerging data and AI technologies, evaluating their applicability to client challenges and incorporating them into platform strategies

Requirements: Solid experience in data architecture roles with a strong focus on cloud technologies, specifically AWS Advanced English proficiency (C1 or above) required for client communication, technical documentation, and cross-functional collaboration Demonstrated experience designing data platforms that support AI and ML workloads as first-class use cases, including feature engineering, feature stores, and model serving infrastructure Proven expertise in navigating legacy data systems and implementing migration strategies to modern cloud platforms Experience with agentic AI technologies and enthusiasm for implementing AI-driven solutions in data architecture contexts Strong analytical and problem-solving skills to address complex, ambiguous data architecture challenges Excellent verbal and written communication skills, with the ability to articulate technical concepts to diverse audiences including executives, engineers, and business stakeholders AI-first mindset with demonstrated use of AI tools in daily technical work Experience with AWS Medallion Architecture (Bronze/Silver/Gold layers) and data lake design patterns Background in Data Mesh principles and federated data governance models

Nice to Have: Hands-on experience with MLOps platforms and infrastructure, including model training pipelines and deployment automation Familiarity with distributed data processing frameworks and technologies for large-scale data transformation Experience working in CPG, FMCG, Retail, or similar consumer-focused industries AWS certifications (Solutions Architect, Data Analytics, Machine Learning)   #LI-JP3