Lead Snowflake Engineer

Key Responsibilities:

• Lead the design, architecture, and implementation of Snowflake-based data solutions.
• Conduct assessment of existing data platforms (e.g., legacy data warehouses, ETL pipelines) and define the modernization strategy.
• Define migration roadmaps and ensure smooth transition from legacy systems to Snowflake.
• Build robust designs, architectural patterns using Snowflake and cloud platforms in alignment with target state expectations.
• Provide architectural guidance, best practices, and technical leadership across teams.
• Collaborate with stakeholders to gather business and technical requirements.
• Design secure, scalable, and performance-optimized data models in Snowflake.
• Establish data governance, access control, and data sharing strategies using Snowflake features.
• Monitor system performance and lead efforts for tuning and optimization.
• Stay up to date on Snowflake features and recommend improvements or adoption of new capabilities.
• Mentor developers, analysts, and engineers in Snowflake development and migration techniques.

Required Qualifications:

• 10+ years of experience in data architecture, data engineering, or similar roles.
• Hands-on experience with Snowflake, including data modeling, performance tuning, and advanced features
• Strong understanding of cloud platforms (AWS/Azure) and integrating Snowflake within them.
• Proven experience with end-to-end data warehouse modernization or migration projects.
• Expertise in SQL, ELT/ETL frameworks, and integration tools
• Solid understanding of data security, governance, and compliance.
• Excellent communication and stakeholder management skills.