Data Tech Lead - DataOps, Brazil

Responsible for designing, developing, and maintaining large-scale data ingestion and transformation pipelines on Databricks. A key contributor in implementing modern DataOps practices, ensuring data reliability, scalability, and alignment with business requirements through the integration of data contracts and automated quality checks. Design, build, and optimize data ingestion and transformation pipelines using Databricks and other modern cloud-based data platforms.

Implement and enforce data contracts, ensuring schema consistency and compatibility across services. Develop and integrate data quality checks (validation, anomaly detection, reconciliation) into pipelines. Apply DataOps best practices, including CI/CD for data workflows, observability, monitoring, and automated testing.

Collaborate with product, analytics, and engineering teams to understand requirements and deliver reliable, production-grade data solutions. Drive improvements in data performance, cost optimization, and scalability. Contribute to architectural decisions around data modeling, governance, and integration patterns. Mentor junior data engineers and developers, providing code reviews, knowledge-sharing, and best practice guidance.