Sales Engineer
Snowflake
- Manila City, Metro Manila
- Permanent
- Full-time
- 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 technical audience on the customer side.
- Minimum 6 years of experience working with customers in a technical role.
- Minimum 6 years of experience as a data architect, data scientist, or data engineer.
- Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Understanding of complete data stack and workflow, from ETL to data platform design to BI and analytics tools.
- Strong skills in databases, data warehouses, and data processing.
- 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.).
- 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.
- Strong Data Science/AI/ML experience across a variety of platforms
- Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc).
- Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud
- Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data Pipeline.
- OLAP Data modeling and data architecture experience
- Experience selling enterprise SaaS software.
- Proven success at enterprise software start-ups.