• Maintain and enhance existing data processes to ensure reliability, performance, and scalability • Improve and support Python-based services, as well as develop new ones • Design, implement, and optimize scalable data architecture • Drive improvements in system reliability and performance across all data workflows • Modernize data processes by introducing new tools and technologies • Manage data flow between local storage, AWS, and Snowflake with a focus on performance and cost efficiency • Lead migration of data pipelines and services to Snowflake • Work with and improve the data orchestration layer (Airflow) for stable operation and scalability • Collaborate with cross-functional teams to ensure architectural alignment and adoption of best practices