The individual in this role designs, develops, and optimizes data solutions using specific technology stacks. They collaborate with cross-functional teams to ensure seamless data integration and processing. Responsibilities include implementing scalable data solutions and maintaining tasks, streams, and pipelines for efficient data processing. The role involves optimizing SQL queries to ensure performance and reliability within large-scale environments. Additionally, the professional manages real-time data ingestion workflows and conducts code reviews to improve existing data solutions.

Candidates must possess a minimum of 8 years and a maximum of 12 years of relevant experience in data engineering or software development. Required technical expertise includes Snowflake SQL, Snowflake Streams, Snowflake Tasks, Snowpipe, and Python programming. A solid understanding of data architecture principles, data security, and governance standards is necessary for the position. No specific degree or professional certification requirements are mentioned in the posting.