Principal Data Engineer

We are expanding our engineering team! 🚀 Principal Data Engineer Build the data foundation for an Artificial Intelligence platform. About the challenge: We are looking for a Principal Data Engineer to lead the data architecture and engineering responsible for powering all platform intelligence. 🎯 Responsibilities: - Develop data ingestion and processing pipelines. - Build the Lakehouse architecture. - Implement data cataloging, lineage, and observability. - Ensure data quality, availability, and security. - Define data engineering standards for the program. ✅ What we are looking for: - Solid experience in Data Engineering. - Mastery of Databricks, SQL, and data pipelines. - Knowledge of Data Quality, Data Lineage, and Data Catalog. - Experience with scalable architectures. 🧠 Behavioral profile: We are looking for someone with: - Good communication skills; - Systemic vision; - Collaborative technical leadership; - Mentorship capability; - Pragmatic mindset; - Ability to work easily with multiple teams and different technological contexts. Additional information: ⭐ Nice-to-haves include Kafka and Streaming, Delta Lake, Event-Driven Architectures, and experience with sensitive data and compliance. 💬 Why this position is different: - Environment of high technical complexity; - Opportunity for technical growth; - Engineering best practices culture; - Collaborative and results-oriented teams. 🚀 Why Sciensa? - An environment that balances autonomy and governance; - Real and relevant technical challenges.