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Home›Jobs›CI&T›[Job-25825] Data Tech Lead (Databricks), Brazil
CI&T

About CI&T

Transforming businesses through technology and innovation

🏢 Tech👥 5K-10K📅 Founded 1995📍 New York, New York, United States

Key Highlights

  • Headquartered in New York, NY, with a global presence
  • 5,000+ employees across multiple countries
  • Partners with leading brands like Coca-Cola and Nestlé
  • Focus on AI/ML, cloud computing, and agile development

CI&T is a global digital transformation company headquartered in New York, specializing in software engineering and IT services. With over 5,000 employees, CI&T partners with major brands like Coca-Cola, Johnson & Johnson, and Nestlé to deliver tailored solutions in areas such as AI/ML, cloud comput...

🎁 Benefits

CI&T offers competitive salaries, equity options, a generous PTO policy, and flexible remote work arrangements. Employees also benefit from a learning...

🌟 Culture

CI&T fosters a culture of innovation and collaboration, emphasizing agile methodologies and a customer-centric approach. The company values diversity ...

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CI&T

[Job-25825] Data Tech Lead (Databricks), Brazil

CI&T • Brazil

Posted 3d agoLeadData tech lead📍 Brazil
Apply Now →

Skills & Technologies

DatabricksDelta lakeSparkDatabricks sqlUnity catalogMLflowKafkaEvent hubsKinesis

✨ AI Summary

CI&T is seeking a Data Tech Lead to design and implement a modern data platform for a leading retail company. You'll focus on Databricks and lead the development of scalable data solutions while collaborating with various teams. Expertise in Databricks and data architecture is essential for this role.

Job Description

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 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.

We are looking for a highly skilled Data Tech Lead with focus on Databricks to lead the design, development, and implementation of a modern hub-and-spoke data platform for a leading retail company. This platform will serve as the foundation for advanced analytics and real-time personalization, enabling data-driven decision-making and customer engagement.

The role involves working closely with business stakeholders, data engineers, and product teams to design scalable, secure, and efficient data solutions on Databricks and the modern data stack. The architect will also drive the adoption of DataOps practices such as CI/CD pipelines, data contracts, quality checks, and observability.

Requirements
- Expertise in Databricks (Delta Lake, Spark, Databricks SQL, Unity Catalog, MLflow).
- Strong background in data architecture and design of large-scale, distributed systems.
- Proven experience building data pipelines (batch and streaming) with technologies like Delta Live Tables, Spark Structured Streaming, Kafka, Event Hubs, or Kinesis.
- Solid understanding of DataOps practices: CI/CD for data workflows, testing frameworks, monitoring, and observability tools.
- Proficiency in SQL and Python (PySpark).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) including storage, networking, IAM, and security best practices.
- Knowledge of data governance, lineage, and cataloging solutions (e.g., Unity Catalog, Collibra, Alation).
- Ability to integrate APIs, third-party systems, and retail platforms into the data ecosystem.
- Understanding of the entire business side.
- Advanced English is essential (speaking)!

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