Snowflake Technical Architect- Data Engineering

About Tredence: Tredence is a global data science provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data engineering. As we continue to grow and expand our capabilities, we are seeking a highly skilled Snowflake Technical Architect- Data Engineering to join our team. This role will be responsible for designing, building, and maintaining large-scale data engineering solutions using Snowflake as the primary data warehousing platform. The ideal candidate should have hands-on experience with Snowflake, AWS, and other cloud-based technologies, as well as a strong understanding of data modeling, ETL processes, and data governance principles. Additionally, the successful candidate will be able to collaborate effectively with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver high-quality solutions that meet customer needs. If you are passionate about building innovative data engineering solutions and have a strong desire to work in a fast-paced, dynamic environment, we encourage you to apply for this exciting opportunity.