[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

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.