Job Description
· Design and architect scalable, secure, and high-performance data solutions on Snowflake.
· Lead migration of legacy data warehouses and ETL platforms to Snowflake.
· Define data modeling standards including Star Schema, Snowflake Schema, Data Vault, and Kimball methodologies.
· Design and implement data ingestion frameworks using batch and real-time processing.
· Optimize Snowflake performance, storage, compute costs, and query execution.
· Establish security, governance, masking, RBAC, and data-sharing strategies.
· Collaborate with business stakeholders, data engineers, and analysts to translate requirements into technical solutions.
· Drive best practices for CI/CD, DevOps, monitoring, and automation within the data platform.
· Provide technical leadership, mentoring, and architectural guidance to development teams.
· Conduct architecture reviews and ensure adherence to enterprise standards.

· Take ownership of complex data engineering initiatives from conception through production deployment.
· Develop and implement high-performance ETL frameworks using Snowflake and Python,
· Establish patterns and standards that other developers can follow while ensuring scalability, reliability, and maintainability

Snowflake Data Architect

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