[Job-30295] Senior Data Engineer (DataBricks & Data Privacy-LGPD ), 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.

CI&T is looking for a Senior Data Engineer to join a strategic initiative focused on Data Privacy and Governance for a global client.

In this role, you will act as a technical consultant, supporting the integration between Databricks and data privacy/governance solutions to ensure the client's Data Lake complies with LGPD requirements. You will work closely with cross-functional teams, helping design secure, scalable, and compliant data solutions.

• →Act as a technical advisor for the integration between Databricks and data privacy/governance tools.
• →Support the configuration of connectivity, access permissions, metadata, and security requirements within Databricks.
• →Guide and validate data discovery, classification, and scanning processes across the Data Lake.
• →Provide expertise on Databricks data structures, access patterns, and security models.
• →Collaborate with engineering and business teams to ensure data integrity, usability, and compliance.
• →Document data architectures, workflows, and technical processes.
• →Support troubleshooting and provide technical guidance on data-related challenges.
• →Contribute to Data Lake and Data Warehouse architecture discussions and best practices.

• Experience in Data Engineering or related roles.
• Advanced English (C1 or above), both written and spoken- mandatory
• Hands-on experience with Databricks (required), including:
  • Data structures and Delta tables
  • Access control and security model
  • Connectors and metadata management
• Strong knowledge of SQL and Apache Spark.
• Experience with modern cloud-based data engineering environments.
• Experience with Data Lake and Data Warehouse architectures.
• Knowledge of dimensional data modeling.
• Experience with CI/CD pipelines for data and ETL processes.
• Familiarity with data privacy and compliance concepts such as LGPD and GDPR.

• Databricks certification.
• Experience with Azure and/or AWS.
• Experience with Unity Catalog and Data Governance practices.
• Knowledge of Data Quality frameworks and processes.
• Experience with data privacy, governance, discovery, or classification platforms.
• Experience supporting scanning and classification tools integrated with cloud data platforms.
• Experience working with international clients.
• Knowledge of Power BI.