Data Engineering Lead for Snowflake

About

Elevate your career as a Data Engineering Lead focused on Snowflake's commercial data architecture and governance. Join our team to architect a modern data platform that fuels advanced analytics and self-service insights.

In this senior management role, you will drive the development of a scalable Data Lakehouse on Snowflake, optimizing it for performance and security. You will lead data migration from legacy systems while implementing governance frameworks to ensure compliance and efficiency across data operations.

Key Responsibilities:

• Design and build Snowflake Data Lakehouse architecture
• Lead data migration efforts from various sources to Snowflake
• Implement governance frameworks and data lineage tracking
• Collaborate with analysts and BI developers for self-service analytics
• Mentor team members and drive cross-functional collaborations

Requirements:

• 4+ years of data engineering experience; 2 years on Snowflake
• Advanced SQL skills, including query optimization
• Expertise in cloud data integration and storage platforms
• Proficiency in data modeling and architecture patterns
• Programming skills in Python, JavaScript, and shell scripting

Transform the future of data analytics by optimizing cloud-based solutions and integrating cutting-edge technologies.