Snowflake SALES ENGINEER 

Australia, Victoria, Melbourne 

918612285

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

MINIMUM REQUIREMENTS:

• 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

STRONGLY DESIRED:

• 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

ADDED BONUS FOR:

• 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