
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.
🔥 2 hours ago
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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.
• Run training sessions, workshops, webinars to help Partners become proficient in Snowflake. • Help Solution Providers/Practice Leads with technical strategies that enable them to sell their offerings on Snowflake. • Keep Partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits. • Run technical enablement programs to provide best practices and solution design workshops to help Partners create effective solutions. • Have a Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging, sharing customer success stories and case studies to showcase the impact of Snowflake. • Have a strong understanding of how Partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services. • Have conversations with other technologists, providing presentations at the C-level. • Development skills - Work with large-scale datasets, preprocess them, and create appropriate data representations. • Working with partners in building the solution using Python, Snowpark and other open source libraries. • Dockerize their applications and run those Docker images inside Snowflake. • Building industry solutions based on partner and customer requirements. • Building Gen AI-based applications and staying up-to-date with the latest advancements in Gen AI. • Helping partners in deploying ML models in Snowflake.
• 10+ years of relevant experience • Strong experience with databases like SQL Server / Oracle/ My SQL/ NoSQL DBs • Strong experience with data warehouses like Azure Synapse / Redshift / Big Query • In-depth knowledge and hands-on experience in Data Engineering, Spark, Big Data • Strong knowledge on Docker and how to dockerize Python based applications • Knowledge on Container networking and overview on Kubernetes • Working knowledge on API’s and how to build and expose applications as APIs • Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops • Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing • Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc. • High level overview and knowledgeable on ML development and Generative AI.
• medical, dental, vision, life, and disability insurance • 401(k) retirement plan • flexible spending & health savings account • at least 12 paid holidays • paid time off • parental leave • employee assistance program • other company benefits
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