[Job - 32120] Principal Data Developer, Brazil

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.

• Design and build a scalable lakehouse data platform from the ground up, covering everything from raw data ingestion to the layers that serve downstream consumption.
• Define the end-to-end data lifecycle architecture needed to support analytics, machine learning, and business intelligence use cases further down the pipeline.

• Build production-grade data pipelines, frameworks, and platform services by writing and reviewing code directly, not only specifying requirements for others.
• Lead data cleaning, transformation, and entity resolution work by converting large volumes of unstructured legal and historical records into consistent, trustworthy datasets.

• Provision, manage, and scale cloud infrastructure as code to enable repeatable, reliable platform deployments.

• Act as the primary technical reference for the platform by setting engineering best practices, code quality standards, and architectural guardrails for the team.
• Mentor engineering team members on data engineering practices and platform standards as the team and platform grow.

• Partner directly with client leadership and business stakeholders by translating business requirements into technical solutions, and by proposing, presenting, and defending architectural decisions in direct conversations.
• Collaborate closely with adjacent roles, including AI architecture and product ownership, within a lean, AI-native delivery team.

• Extensive, hands-on experience designing and building enterprise-grade data platforms from scratch, operating simultaneously as architect and individual contributor.
• Deep expertise in Databricks and lakehouse architecture design.
• Experience with at least one major cloud platform is mandatory (AWS, Azure or GCP).
• Solid proficiency in Infrastructure as Code, using tools such as Terraform, OpenTofu, or AWS CDK.
• Strong command of data engineering fundamentals: data modeling, distributed computing, ETL/ELT design patterns, and entity resolution.
• Demonstrated ability to structure data platforms so they support downstream data science, machine learning, and business intelligence needs.
• Core background rooted in data engineering and pipeline/platform development, rather than analytics or reporting-tool work alone.
• Advanced English proficiency (written and spoken), used daily for technical and strategic communication with client leadership based in the United States.
• Strong communication skills, with proven ability to propose, present, and defend technical solutions directly to client stakeholders.

• Experience with AWS specifically, as it is the target cloud provider for this Databricks deployment.
• Databricks certification(s).
• Experience working in legal services, financial services, or other document- and precedent-intensive industries.
• Experience operating within small, AI-native delivery teams rather than large traditional team structures.
• Familiarity with AI/ML platform architecture practices, given close collaboration with an AI architecture counterpart.