Snowflake Data Architect

<h3>📋 Description</h3> •Lead Snowflake platform architecture across U.S. and International instances, ensuring alignment to medallion-layer principles and scalable data modeling. •Define best practices for data structures and modeling, object naming, and compute utilization. •Partner with the Data Engineering team to guide schema design, improve performance, and promote consistency. •Drive cost optimization efforts through query and data structure performance optimization. •Represent the Snowflake platform in strategic projects, like migration projects and enterprise analytics initiatives. •Collaborate with a dedicated Platform Engineer to implement and maintain Git-based version control, metadata documentation, and object lifecycle standards. •Mentor engineers and analysts on Snowflake best practices and performance tuning. •Participate in governance efforts, architecture reviews, and cross-functional collaboration. <h3>🎯 Requirements</h3> •7+ years in data engineering or architecture roles, including 3+ years of hands-on Snowflake experience. •Expertise in data modeling, SQL performance tuning, and Snowflake architectural principles. •Strong proficiency in SQL and working knowledge of Python. •Experience with compute monitoring, cost control, and resource optimization in Snowflake. •Familiarity with GitOps or CI/CD workflows in a data platform setting. •A collaborative mindset and the ability to communicate effectively across both technical and business audiences. •Familiarity with ETL processes and tools, like Airflow, and data pipeline optimization. •Self-motivated with a proactive approach to identifying and implementing optimizations.