Senior Data Architect, Brazil

CI&T; Brasil; Presencial; BRL 300 000 - 600 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Wellhub/Gympass TotalPass partnerships

Profit sharing and results involvement

Life insurance

CI&T University (learning platform)

Discount club

Well-being platform

Pregnancy and parenting course

Online learning platforms

Language learning platform

Resumo da oferta

CI&T in Brazil seeks a senior data architect to lead cloud‑first data platforms, shaping strategy with client leadership and translating complex architectures into measurable business outcomes. You will guide cross‑functional teams, design AI/ML ready platforms on AWS, implement Data Mesh and governance, and mentor engineers in modern cloud practices.

This role demands strong communication with executives and hands‑on architectural excellence.

Qualificações

• Solid experience in data architecture with a strong focus on cloud technologies, especially AWS.
• Advanced English proficiency (C1+) for client communication and cross‑functional collaboration.
• Experience designing data platforms that support AI/ML workloads including feature engineering, feature stores, and model serving infrastructure.
• Proven expertise migrating legacy data systems to modern cloud platforms.
• Familiarity with agentic AI technologies and AI‑driven solutions in data architecture contexts.
• Strong analytical and problem‑solving skills for complex data challenges.
• Excellent verbal and written communication with executives, engineers, and business stakeholders.
• AI‑first mindset with daily use of AI tools in technical work.
• Experience with AWS Medallion Architecture and data lake design patterns.
• Background in Data Mesh and federated governance.

Responsabilidades

• 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.
• 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.
• Design data platforms that natively support AI and ML workloads, including feature engineering pipelines, feature stores, model training data preparation, and inference serving infrastructure.
• Define data models, integration patterns, and platform capabilities that directly support business use cases and analytics needs.
• Advise on governance models and Data Mesh implementations to scale across distributed architectures.
• Integrate AI tools into daily architectural work and stay current with emerging data and AI technologies.

Conhecimentos

Data architecture

Cloud AWS

English proficiency (C1+)

AI/ML platforms design

MLOps familiarity

Data Mesh

Analytical thinking

Executive communication

Ferramentas

AWS Medallion Architecture

Data lake design

Migration to cloud

Descrição da oferta de emprego

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 incremental value.

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, ensuring seamless integration of the machine‑learning lifecycle.
• 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) 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).

Our Benefits

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended paternity leave.
• Partnering 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

Our commitment to 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. 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.