Snowflake SALES ENGINEER 

Australia, Western Australia, Perth 

874133211

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

Minimum 6 years of experience working with customers in a technical pre-sales role

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 SQL analytics

Strong Data Science/AI/ML experience across a variety of 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

Data Science knowledge and experience

Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.)

Software development experience with C/C++ or Java

Scripting experience with Python, Ruby, Perl, Bash

University degree in computer science, engineering, mathematics or related fields, or equivalent experience

Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase, etc)

Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau, etc)

Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc)

Experience implementing ETL pipelines using custom and packaged tools

Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data Pipeline

Experience selling enterprise SaaS software

Proven success at enterprise software start-ups