Snowflake
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
Senior Solution Engineer
November 10
Snowflake
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
📋 Description
• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation • Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing • Be an advocate and develop mutual trust with the technical audience on the customer side
🎯 Requirements
• Minimum 10-12 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 • 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 Malaysian market and technology ecosystem
🏖️ Benefits
• Health insurance • Flexible work arrangements • Professional development opportunities
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