Snowflake Architect needs 10+ years’ experience
Snowflake Architect requires:
•5+ years of experience in data architecture or data engineering roles
• At least 3 years of hands-on experience with snowflake.
• Proven track record of designing and implementing large-scale data solutions across industries
• Experience working in consulting or client facing roles, particularly with D&A or enterprise customers
• Deep understanding of modern data architecture principles, including cloud platform AWS
• Expert knowledge of snowflake architecture, including data sharing, performance optimization and data security
• Experience integrating snowflake with BI/Visualization platform like Tableau or Business Objects or Crystal Reports
• Hands on experience with data modeling, schema design and ELT pipeline development
• Understanding of cloud-native services for data ingestion, transformation, and orchestration (e.g., AWS services)
• Collaborate with security and infrastructure teams to integrate snowflake with SIEM solution for real-time monitoring, alerting and compliance reporting
• Experience integrating snowflake with SIEM platforms such as AWS
• Experienced design data pipelines that securely ingest security logs and audit data from snowflake into centralized SIEM platforms
• Experience in designing high performance data extraction process using Teradata to snowflake
• Experience in leverage amazon S3 as an intermediate staging layer for seamless data transfer and scalability
Snowflake Architect duties:
• Responsible for crafting robust, scalable data architecture solutions that support advanced analytics, data warehousing and real time data processing initiatives across the enterprise.
• Lead the design, implementation, and optimization of snowflake data platform.