- Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
- Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
- Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
- Lead and mentor engineering teams, coordinating deliveries and driving technical standards
- Establish and evolve CI/CD pipelines and Infrastructure as Code (IaC) practices for data platforms
- Partner with clients and stakeholders to translate business requirements into scalable data solutions
- Champion data governance, quality, and security using tools such as Unity Catalog
- Contribute to platform modernization initiatives, including Data Warehouse to Lakehouse migrations
- Apply Agile methodologies to plan, iterate, and deliver data engineering projects effectively
PythonSQLAgile+4 more