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.

We are looking for a Data Architect with strong AWS expertise to drive the strategy, development, and execution of our enterprise data platforms and analytics products. In this role, you will bridge the gap between business stakeholders, data engineers, and data science teams to transform raw data assets into scalable, high-value data products. You will leverage cloud-native AWS services to manage the product lifecycle from discovery to rollout, ensuring high data quality, governance, and business impact.

Responsibilities:

Requirements:

• Experience specifically managing data platforms, ETL pipelines, or analytics products.
• AWS Technical Literacy: Solid understanding of the AWS data stack (S3, Redshift, Glue, EMR, Athena, QuickSight, IAM) and cloud-native data architecture patterns (Data Lake, Lakehouse, Data Mesh).
• Agile & Delivery: Strong experience leading cross-functional squads using Scrum/Kanban, backlog management tools (Jira, Linear), and defining clear user stories.
• Data Skills: Proficiency in SQL and data visualization tools, with the ability to query data directly to validate product performance and metrics.
• Business Acumen: Demonstrated track record of converting complex technical requirements into actionable business outcomes and executive-ready communications.