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 **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.
João Silva
Indeed · HR
João Silva
Indeed · HR
