Snowflake Engineer

Quick Facts

Role: Senior or Manager Snowflake Engineer (Data & Analytics)

Team goal: Build a 7-FTE team to design, develop, and implement modern Data & Analytics solutions.

Description

You will design, develop, and optimize Snowflake-based solutions, including modern data warehouses and data processing pipelines (ETL/ELT). You will integrate data from different sources, ensure quality and consistency, and support Analytics & Reporting by translating business requirements into technology solutions.

Responsibilities

• Design, develop, and optimize solutions based on the Snowflake platform
• Build and maintain modern Data Warehouses
• Design and develop data processing processes (ETL/ELT)
• Integrate data from various sources and ensure quality and consistency
• Develop and optimize the data platform architecture in cloud environments
• Support Analytics & Reporting solutions
• Analyze business requirements and translate them into technological solutions
• Collaborate with Data Engineering, Architecture, and Business teams
• Identify opportunities to optimize performance, scalability, and data infrastructure costs

Additional responsibilities at Manager level:

• Design and oversee the architecture of data solutions
• Make technology decisions and recommend optimal architectural solutions
• Coordinate technical teams and support competency development
• Oversee project delivery and ensure solutions comply with architectural assumptions

Requirements

• Minimum 5 years of practical experience working with the Snowflake platform
• Experience in Data Engineering
• Knowledge of Data Warehousing
• Experience with cloud data platforms
• Knowledge of Analytics & Reporting solutions
• Ability to design and optimize data processing pipelines (ETL/ELT)
• Strong analytical and problem-solving skills
• Ability to collaborate with technical and business teams