The Sales Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to make Snowflake customers successful. The sales engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. You will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

The Sales Engineer has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. You will work collaboratively with a broad range of people, both inside and outside the company.

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 6-8 years of experience working in customer facing sales 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

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 
• OLAP Data modeling and data architecture experience
• Experience selling enterprise SaaS software
• Proven success at enterprise software start-ups