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.