[Hiring] Senior Data Architect @CI&T

Role Description

At CI&T, 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.

Qualifications

• 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.

Requirements

• 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).

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!