Senior Data Architect

🕒 July 3

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• 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 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 • 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 • 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 • 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 • 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

🏖️ 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!