CI&T - [Job - 30217] Senior Data Architect, Colombia

Colombia3w ago

In Office Principal LATAM Cloud Computing Artificial Intelligence Senior Data Engineer Data Architect Documentation Cross-functional Collaboration AWS Team Leadership Governance

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 • 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)

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

Benefits

• Premium Healthcare • 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.