Senior Snowflake Architect

• Design and implement scalable Snowflake architectures supporting data warehouse, data lake, and data sharing use cases
• Lead Snowflake solution design, including dimensional and analytical data models, batch and near real-time ELT/ETL pipelines, data integration and Snowflake Data Sharing, end-to-end data layers (Bronze / Silver / Gold), semantic views, and analytics-ready datasets, advanced Snowflake capabilities including Cortex AI and data agents
• Define and implement governance features such as Snowflake Horizon, masking, and encryption
• Collaborate with data engineers, analytics teams, and product partners to translate business requirements into scalable technical solutions
• Evaluate new Snowflake features and recommend adoption to improve performance, scalability, security, and cost efficiency
• Enable advanced analytics use cases in Snowflake, including predictive modeling and anomaly detection using Cortex AI
• Own day-to-day administration of Snowflake environments across development, test, and production
• Manage Snowflake configuration including warehouses, databases, schemas, users, roles, and resource monitors
• Monitor and optimize platform performance, availability, and cost usage
• Implement and maintain Snowflake security controls, including role-based access control (RBAC), masking and row access policies, governance and monitoring features
• Troubleshoot and resolve Snowflake performance, pipeline, and access issues
• Design and implement data sharing, replication, disaster recovery/failover, and backup strategies
• Maintain platform documentation, architecture diagrams, and operational runbooks
• Ensure adherence to enterprise privacy, security, and data governance standards
• Provide guidance and technical oversight to distributed or offshore Snowflake administration resources

• 8–10+ years of experience in data engineering, data architecture, or data platform roles
• 4–5+ years of hands-on Snowflake experience spanning architecture and administration
• Strong expertise in Snowflake architecture, performance tuning, and cost optimization
• Strong expertise in data warehousing concepts and dimensional modeling
• Strong expertise in advanced SQL
• Python experience preferred
• Experience designing and operating ELT/ETL pipelines
• Working knowledge of Snowflake security and governance features
• Scripting and automation experience (e.g., Bash, Terraform, or similar tools)
• Hands-on experience with CI/CD pipelines and GitHub
• Experience working with cloud platforms such as AWS and/or Azure
• Strong troubleshooting, communication, and collaboration skills
• Snowflake SnowPro Core certification preferred

Snowflake SnowPro Core certification preferred

• 401k plan with employer match
• flexible paid time off
• holidays
• parental leaves
• life and disability insurance
• health benefits including medical, dental, vision, and prescription drug coverage