
The Lead Data Warehouse Engineer role serves as a senior technical specialist within the Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai. This position focuses on leading the integration of multi-modal clinical data into the AIR.MS platform, a high-performance cloud-based system designed to accelerate scientific discovery. Key responsibilities include designing and maintaining complex data pipelines, developing dimensional models for SAP HANA and MySQL environments, and mentoring junior engineers on best practices. The role also involves optimizing database performance, ensuring strict data security compliance, and collaborating with researchers and clinicians to prioritize data integration efforts. This opportunity is appealing for its chance to work at the forefront of healthcare innovation using cutting-edge AI and big data technologies within a collaborative, inclusive culture. The position is based on-site in New York City.














