Senior Data Platform Engineer

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 7.400 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
Location: Brazil (Remote) Industry: Financial Services / Mortgage Lending Project Type: Real-Time Data Platform Modernization
The Mission:
Build and operate a cutting-edge, near-real-time data platform that synchronizes data across enterprise systems. You'll be hands-on with modern streaming technologies, solving complex data engineering challenges that enable real-time decision-making, eliminate data silos, and modernize how the organization leverages data.
What You'll Do
Real-Time Data Pipeline Development (40%) Design and deploy real-time data pipelines using Kafka Connect and Debezium CDC to stream changes from operational databases to Snowflake Develop CI/CD pipelines to automate data pipeline deployments Build ETL/ELT processes for both batch and streaming scenarios Implement data quality validation and monitoring across streaming pipelines Troubleshoot and optimize pipeline performance for reliability and efficiency
Kubernetes Infrastructure Management (30%) Deploy and manage data infrastructure on Kubernetes clusters Monitor connector health and troubleshoot issues in production environments Maintain containerized applications and ensure high availability Optimize resource allocation and implement scaling strategies Handle production support and incident resolution
Data Warehouse & Modeling (20%) Build and optimize Snowflake data models that power analytics and business intelligence Design dimensional models (star/snowflake schemas) for analytics use cases Write complex SQL queries and optimize performance and costs Implement data governance and cataloging using DataHub - building data catalogs, lineage tracking, and discovery tools Collaborate with data analysts and business stakeholders to understand requirements
Collaboration & Documentation (10%) Work with data analysts, engineers, and business stakeholders across teams Document data flows, transformations, and technical decisions Participate in architecture discussions and technical reviews Support knowledge sharing and best practices across the team
What You Need to Succeed
Core Requirements: 1. Advanced English Communication (Non-Negotiable) Daily communication with US-based client teams Professional written and verbal English for meetings, documentation, and collaboration 2. Snowflake Production Experience (Non-Negotiable) You've built data warehouses in Snowflake production environments Written complex SQL and optimized performance and costs Experience with modern data warehouse architecture patterns 3. Real-Time Streaming Expertise Hands-on production experience with Kafka and Kafka Connect Understanding of CDC (Change Data Capture) patterns Debezium experience is a strong plus Stream processing and real-time data architecture knowledge 4. Kubernetes Operational Experience You've deployed and maintained containerized applications in production Experience troubleshooting and monitoring Kubernetes workloads Understanding of container orchestration and cloud-native patterns Important Data Engineering Skills: 5. Data Pipeline Development ETL/ELT design and implementation for batch and streaming Version control and CI/CD for data pipelines Automated testing and deployment practices 6. Data Modeling Dimensional modeling (star/snowflake schemas) for analytics Data Lake/Warehouse architecture Understanding modern data stack patterns 7. Problem-Solving & Independence Debug complex data pipeline issues independently Production support experience under pressure Ability to navigate ambiguity and find solutions
Highly Valuable (Nice-to-Have): 1 - Data Governance & Cataloging DataHub, Collibra, or Alation experience Data lineage tracking and metadata management Data discovery and cataloging best practices 2 - Advanced Stream Processing Apache Flink or Flink SQL Complex event processing patterns State management in streaming applications 3 - Modern Data Stack Tools Airbyte, Fivetran, or similar ingestion tools dbt (data build tool) for transformations Data quality frameworks and practices 4 - Open Table Formats Apache Iceberg or Delta Lake experience Understanding of lakehouse architectures 5 - Cloud Platforms & FinOps AWS or Azure experience Cloud cost optimization practices Infrastructure as Code (Terraform, CloudFormation) 6 - Financial Services Domain Mortgage or lending industry knowledge Understanding of regulatory/compliance requirements Financial data modeling experience
Why This Role?
Modern Tech Stack: Work with the latest in streaming data and cloud data platforms Hands-on with Kafka, Kubernetes, Snowflake, and DataHub Real-time data architecture and event-driven systems
High Impact: Your solutions will directly enable business decisions and operational efficiency Eliminate data silos across the organization Enable real-time insights for a major financial services company
Learning Opportunities: Gain deep expertise in real-time data architecture Advanced Kubernetes and cloud-native development Data governance and modern data stack technologies
CI&T Culture: Training budget for professional development and certifications Access to learning platforms and technical courses Career development programs and mentorship opportunities Collaborative environment with talented engineers Health and wellness benefits
The Ideal Candidate
You're likely a great fit if you can say:
"I've built production data pipelines that process data in Snowflake" "I've worked with Kafka or similar streaming platforms in production" "I've deployed and managed applications on Kubernetes" "I'm comfortable with SQL, Python, and data modeling" "I communicate effectively in English with international teams" "I can work independently and debug complex issues" "I understand dimensional modeling and data warehouse design"
This might NOT be the right fit if:
You don't have production Snowflake experience (it's non-negotiable here) Kafka and streaming technologies are completely new to you You're uncomfortable with Kubernetes and containerized environments English communication is a challenge for daily collaboration You prefer batch-only data processing over real-time streaming
Common Questions
"Do I need to have ALL the technologies listed?" No - strong fundamentals in Snowflake, Kafka, and Kubernetes are essential. If you have those core skills and are eager to learn tools like DataHub or Flink, we encourage you to apply. The "nice-to-have" section represents growth opportunities, not mandatory requirements.
"Is Debezium experience mandatory?" It's a strong plus but not mandatory. If you understand CDC patterns and have worked with Kafka Connect, you can learn Debezium on the job. However, general CDC and streaming experience is important.
"How much of this role is infrastructure vs. data engineering?" About 40% data pipeline/streaming development, 30% Kubernetes/infrastructure management, 30% data modeling/Snowflake work. You'll need to be comfortable spanning infrastructure and data engineering responsibilities.
"What level of English is required?" You'll need to communicate clearly in written and verbal English - daily meetings with US-based client teams, technical documentation, and async communication via chat/email. Doesn't need to be perfect, but professional communication is essential.
"What's the most challenging part of this project?" Building reliable, near-real-time data pipelines that handle high volumes of change data capture events, ensuring data quality across streaming flows, and managing complex Kubernetes deployments - all while maintaining performance and cost efficiency.
"Will there be opportunities to work with new technologies?" Yes The modern data stack is constantly evolving. You'll have opportunities to explore tools like Apache Flink, Iceberg, and advanced data governance platforms as the project grows.
"Is this remote work or hybrid?" Fully remote within Brazil . You'll collaborate with distributed teams across time zones, primarily aligning with US business hours for key meetings.
#LI-LO1 Our benefits:
-Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; -Profit Sharing and Results Participation (PLR); -Life insurance -Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more
More details about our benefits here:
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

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