Job Title

Join a pioneering team to architect essential data infrastructure for a multi-agent AI system. Leverage your expertise in cloud data warehouses and ETL pipelines to support analytics and machine learning from the ground up. In this senior role, you will design and implement critical data systems to power sophisticated client services. Your technical skills will guide the establishment of a robust data infrastructure, ensuring maintainability and scalability. The focus is on developing a platform that integrates seamless data flow and supports real-time feature serving for machine learning capabilities. Key Responsibilities: Design foundational data infrastructure from scratch Set up secure Snowflake environments and access controls Create robust data pipelines to the data warehouse Implement transformations with dbt and orchestrate with Airflow Design dimensional models for analytics and ML Requirements: 5+ years with modern cloud data warehouses (Snowflake preferred) Strong SQL and extensive ETL/ELT pipeline experience dbt experience required; familiarity with orchestration tools Proficient in Python for data engineering tasks AWS experience (S3, Glue, Athena) Leverage your data engineering skills to build groundbreaking infrastructure that enables analytics and ML solutions in a dynamic environment. #J-18808-Ljbffr