Snowflake
Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.
Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics
Solution Engineer
6 days ago
Snowflake
Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.
Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics
📋 Description
• Build the future of the AI Data Cloud. Join the Snowflake team. • The Solution Engineer will collaborate closely with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to ensure Snowflake customers achieve success. • This role requires a broad range of skills and experience, encompassing data architecture, ETL/ELT, data science, security, performance analysis, and analytics. • You will possess the insight to connect a customer’s specific business challenges with Snowflake’s solutions. • You will thrive in a collaborative environment, working effectively with a wide range of individuals, both within and outside the organization.
🎯 Requirements
• Minimum 5+ years of experience working in customer facing solution engineering (tech pre-sales) role • Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos • Hands-on expertise with SQL and Python • Excellent fluency in both native Thai and English is required. • Data Science knowledge and experience • University degree in computer science, engineering, mathematics or related fields, or equivalent experience • Software development experience with Java, Spark and other scripting languages • Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms • Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events • Sound understanding and experience in the Thailand market and technology ecosystem
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