[Job-31564] Data Architect (Databricks), Brazil (Hybrid)
Quick Summary
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,
Advanced English, comfortable explaining technical solutions in conversation. Solid experience in architecture design and technical leadership Solid experience designing,
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.
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
- 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
- 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)
#LI-LO1
Location & Eligibility
Listing Details
- Posted
- September 8, 2026
- First seen
- September 8, 2026
- Last seen
- October 5, 2026
Posting Health
- Days active
- 27
- Repost count
- 0
- Trust Level
- 25%
- Scored at
- October 6, 2026
Signal breakdown
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