Snowflake SALES ENGINEER 

India, Delhi, Delhi 

442759101

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