
5001 - 10000 employees
Founded 2012
☁️ SaaS
🏢 Enterprise
🤝 B2B
SaaS • Enterprise • B2B
Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.
🕒 July 28
AWS
Azure
Cloud
DNS
ETL
Google Cloud Platform
Informatica
Java
JavaScript
Jenkins
Matillion
Python
RDBMS
Scala
Spark
SQL
Tableau
TCP/IP
Terraform
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5001 - 10000 employees
Founded 2012
☁️ SaaS
🏢 Enterprise
🤝 B2B
SaaS • Enterprise • B2B
Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.
• Provide hands-on support for customers following Snowflake deployment, including quick-start consultations, issue resolution, account health monitoring, and critical event support • Understand customers' product integration architectures, workloads, and business objectives • Design, review, and execute customer-contextualized use cases aligned with Snowflake best practices and product functionality • Guide customers through technical challenges • Monitor, review, and optimize query performance while preventing recurring issues • Analyze warehouse configuration and utilization and implement cost optimization recommendations • Work deeply with system integrator consultants to position and deploy Snowflake in customer environments • Own release readiness for priority support customers • Lead disaster recovery drills and provide hands-on migration support • Drive high-quality issue resolution and root cause analyses while advocating for customers internally • Establish regular technical and executive customer touchpoints and provide updates on reported issues • Be available on-call as needed for customer success • Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and services • Apply AI-powered tooling and workflows to triage, log analysis, response drafting, and trend detection, validating outputs and escalating when needed
• 7+ years of experience in Technical Support, Solutions Architecture, Data Engineering, or a similar customer-facing technical role • Bachelor's or Master's degree in Computer Science, MIS, or a related field — or equivalent experience • Proven success managing enterprise customer relationships as a trusted technical advisor • Ability to communicate and influence across technical and executive audiences • Advanced SQL expertise, including query debugging, optimization, window functions, and performance tuning • Strong RDBMS fundamentals: data types, aggregations, execution plans, workload management, and database performance • Hands-on experience with distributed or MPP database platforms • Experience with ETL/ELT tools and BI/analytics platforms, such as AWS Glue, Azure Data Factory, Informatica, Matillion, Fivetran, and Tableau • Experience with large-scale infrastructure-as-a-service platforms: AWS, Azure, or GCP • AI fluency, including AI-assisted workflows for triage, analysis, and response drafting; critically validating outputs and escalating to manual investigation when appropriate • High emotional intelligence, empathy, customer advocacy, adaptability, and ability to thrive in a fast-moving environment • Bonus: Experience with DevOps or DataOps tooling such as Git, Jenkins, or Terraform • Bonus: Hands-on experience troubleshooting database connectivity and cloud data migrations • Bonus: Understanding of TCP/IP, HTTP/S, SFTP, and DNS and use of diagnostic tools • Bonus: Experience with Python, Java, JavaScript, Scala, or Spark • Bonus: Familiarity with Power BI, Tableau, MicroStrategy, or Business Objects
• Bonus and equity plan eligibility • Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) retirement plan • Flexible spending account • Health savings account • At least 12 paid holidays • Paid time off • Parental leave • Employee assistance program • Competitive benefits package
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