Senior Data Tech Lead – Databricks

• Drive technical leadership of data engineering initiatives on Databricks in Azure
• Partner with the Data Architect to define standards and references, remove roadblocks, and enable scalable, reliable pipelines within the Medallion architecture
• Provide technical leadership to Data Engineering squads through design, reviews, and decision-making
• Co-define the technical vision, coding standards, modeling conventions, and Lakehouse best practices with the Data Architect
• Design and oversee Databricks pipelines across Bronze, Silver, and Gold layers
• Implement and reinforce DataOps practices including Git, CI/CD, unit/integration/data-quality testing, and documentation
• Optimize jobs and pipelines through partitioning, Spark tuning, cost management, observability, and alerting
• Ensure security, access control, and data policies in Azure/Databricks align with governance
• Collaborate with business and analytics stakeholders to translate requirements into scalable solutions and realistic delivery plans
• Mentor engineers, promote standards, and create templates and playbooks to accelerate the team

• Strong experience in Data Engineering and projects, with experience as a Tech Lead/Senior leading teams technically and operationally
• Strong hands-on experience in Databricks, including PySpark and Spark SQL
• Experience with batch pipelines and working knowledge of streaming when needed
• Mastery of Delta Lake and practical application of the Medallion architecture (Bronze/Silver/Gold)
• Solid experience with Azure data services, including Azure Databricks, Azure Data Lake Storage (ADLS), and integration with security/identity services such as Azure Active Directory
• Strong SQL and Python skills
• Fundamentals in dimensional/consumption modeling and good practices for contracts/schemas
• Experience with DataOps, Git, CI/CD for data pipelines, automated testing, and clear documentation
• Proven ability to review design/code, resolve performance/scale issues, and guide teams
• Advanced English to work with stakeholders and produce technical documentation
• Nice to have: Unity Catalog, Databricks Workflows/Repos, Delta Live Tables
• Nice to have: Great Expectations/Soda and/or dbt on the Lakehouse
• Nice to have: Airflow/Databricks Workflows and observability through metrics, logs, and alerts
• Nice to have: CDC/streaming ingestion with Event Hubs/Kafka
• Nice to have: Consulting experience, international client exposure, and Databricks/Azure certifications

• 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
• Health and Well-being team, inclusion specialists, and affinity groups
• Support and accommodations for persons with disabilities during the selection process