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)
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Our benefits include:
- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
And many others.
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.