Lead Data Engineer

Description: Lead the design, development, and optimization of the enterprise data platform, focusing on Snowflake data warehouse and ETL/ELT pipelines. Provide technical leadership, establish engineering standards, and mentor team members while partnering with stakeholders to deliver reliable data solutions. Requirements: Bachelor's degree in computer science, IT, Engineering, or related field. 5+ years of experience in data engineering with a focus on cloud environments. Advanced experience with Snowflake, SQL, and a scripting language like Python. Strong skills in designing scalable ETL/ELT pipelines and dimensional data modeling. Experience with Azure Data Factory or similar orchestration platforms. Proven technical leadership and strong communication skills. Benefits: Competitive salary range of $155,000 - $175,000 per year. Equal employment opportunities and a commitment to a diverse workplace.