Lead Snowflake Engineer

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Matillion
• Build and optimize data warehouse solutions on Snowflake
• Develop robust data processing frameworks and automation scripts using Python
• Create and maintain data models, transformations, and workflows to support business analytics
• Optimize Snowflake performance, including query tuning, clustering, and warehouse management
• Integrate data from multiple structured and unstructured sources
• Collaborate with business stakeholders, analysts, and cross-functional engineering teams
• Implement data quality, validation, monitoring, and error-handling mechanisms
• Participate in code reviews, testing, deployment, and production support activities
• Follow best practices for security, governance, and documentation

Requirements

• 6+ years of experience in Data Engineering
• Strong hands-on experience with Python, Matillion, and Snowflake
• Experience building ETL/ELT pipelines and data integration solutions
• Strong SQL skills with experience in query optimization
• Understanding of data warehousing concepts and dimensional data modeling
• Experience with cloud platforms such as AWS, Azure, or GCP
• Knowledge of Git, CI/CD pipelines, and Agile methodologies

Preferred Qualifications

• Experience with orchestration tools such as Airflow
• Exposure to DBT
• Knowledge of REST APIs and data integration techniques
• Familiarity with data governance and security best practices

About the Company

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.