Data Engineer Snowflake

This role involves building data pipelines, migrating legacy architecture to AI ready data & semantic layer, collaborating with stakeholders, and optimizing data workflows to support advanced analytics and business intelligence initiatives.

Requirements

• Design, build, and maintain robust, scalable, and reliable data pipelines to support analytics, reporting, and AI/ML use cases
• Lead the migration of legacy data architectures to modern, cloud‐based, AI‐ready data platforms
• Develop and implement semantic layers to enable consistent, business‐friendly access to data for analytics and BI tools
• Collaborate closely with business stakeholders, data scientists, analysts, and product teams to understand data requirements and translate them into technical solutions
• Ensure data quality, integrity, security, and compliance through validation, monitoring, and governance best practices
• Document data architectures, pipelines, and best practices to support knowledge sharing and long‐term maintainability