[Job-31564] Data Architect (Databricks), Brazil (Hybrid)

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 experience to be part of our team. In this position, you will lead technically and design data solutions, working closely with teams in North America and Brazil.

Working from our CI&T office in Campinas 3x a week is mandatory.

Responsibilities:

Lead technically the team and enable a multidisciplinary team of data engineers to build, enhance, and maintain data products

Work on a variety of projects, for different clients, in different subject matter domains.

Participate in design and architecture discussions.

Collaborate with strategy, customer experience, product and non-technical program management teams.

Ensure that solutions are following security and performance best practices.

Communicate with customer’s team members and align technical solutions.

Understand requirements and make viable technical solutions choosing appropriate frameworks.

Guarantee a stable and productive development environment since its foundation

Participate is data assessment and complex data modernization engagements

Requirements:

Advanced English, comfortable explaining technical solutions in conversation.

Solid experience in architecture design and technical leadership

Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other data products

Solid experience with major cloud providers (AWS, Azure or GCP)

Solid experience on Databricks

Experience in data pipeline orchestration tools such as Microsoft Data Factory, Apache Airflow or similar

Knowledge of Data Governance principles (PII)

Experience with Data Quality frameworks like GreatExpectations, DQX or similar

Ability to create proof of concepts and coding complex mechanisms

Experience on scaling data workloads

Familiarity with AI engagements and Agentic coding

Experience with data modeling and database design principles

Nice to have

Solid experience on understanding, questioning, prioritizing and translating business problems into data solutions

Databricks Certification

Experience with complex data modernization engagements

Experience with consultative data assessments

Experience with CI/CD

Experience on presenting data solutions and demonstrating technical capabilities for non technical audiences

Experience with Infrastructure as Code (Terraform, CloudFormation)

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