CI&T
[Job-30295] Senior Data Engineer (DataBricks & Data Privacy-LGPD ), Brazil
Remote Senior Data Engineer role with clear candidate location fit.
PostedJul 6, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Brazil
Role overview
[Job-30295] Senior Data Engineer (DataBricks & Data Privacy-LGPD ), Brazil
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Responsibilities
- 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.
Required Qualifications
- 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 tablesAccess control and security modelConnectors and metadata management
- 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.
Details
- Data structures and Delta tables
- Access control and security model
- Connectors and metadata management
Nice to haves
- 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.
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