Snowflake Platform Engineer

• Assess the current Snowflake environment and identify opportunities for improvement
• Recommend and implement Snowflake architecture and platform best practices
• Help organize databases, schemas, warehouses, roles, and data-access patterns
• Improve platform scalability, performance, security, and cost efficiency
• Advise the team on how to structure the platform to support AI use cases
• Provide guidance on Snowflake’s native AI and data capabilities
• Create platform documentation, standards, and operating procedures
• Troubleshoot platform-related issues and recommend sustainable solution
• Provide hands-on knowledge transfer and mentoring to internal team members

The ideal candidate understands how to design, organize, secure, and operate a scalable Snowflake platform. Experience using Snowflake’s native AI capabilities is helpful, but deep AI or machine learning expertise is not required., * Strong hands-on experience designing, implementing, or supporting Snowflake platforms

• Solid understanding of Snowflake architecture and administration
• Experience with platform structure, security, role-based access, performance, and cost optimization
• Ability to assess an existing environment and translate findings into practical recommendations
• Familiarity with Snowflake’s native AI capabilities and how to prepare the platform for AI use cases
• Strong documentation, communication, and knowledge-transfer skills
• Ability to work onsite in Mequon one to two days per week