Snowflake SALES ENGINEER 

Australia, Victoria, Melbourne 

653744979

RESPONSIBILITIES:

• 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.

MINIMUM REQUIREMENTS:

• 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

STRONGLY DESIRED:

• 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.
• Sound understanding and experience in the Australian market and technology ecosystem.

ADDED BONUS FOR:

• 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 or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration Services and so on.
• OLAP Data modeling and data architecture experience
• Experience selling enterprise SaaS software.
• Proven success at enterprise software start-ups.