Lead Snowflake Data Engineer

Lead Snowflake Data Engineer

Responsibilities

• Design and implement robust data pipelines using Snowflake's native capabilities
• Develop and optimize complex queries using Snow SQL and Snow PLSQL
• Build scalable data applications with the Snowpark framework and Python
• Deploy and manage Snowflake environments across AWS and Azure cloud platforms
• Integrate Snowflake with various cloud services, data sources and governance frameworks
• Optimize cloud resource utilization and cost management
• Maintain data workflows using Apache Airflow and DBT for transformation pipelines
• Ensure data quality, reliability and performance across all pipelines
• Monitor and troubleshoot data pipeline issues
• Leverage Snowflake Cortex AI for advanced analytics and machine learning use cases
• Collaborate with data scientists to productionize ML models within Snowflake

Requirements

• 8 to 15 years of experience in data engineering with a focus on cloud-based data platforms
• 4+ years of hands-on expertise in Snowflake including Snow SQL, Snow PLSQL and Snowpark
• Proficiency in advanced Python programming for data engineering
• Skills in AWS and/or Azure cloud services
• Experience with Apache Airflow and DBT for workflow orchestration and data modeling
• Familiarity with Snowflake Cortex AI's native AI and ML capabilities