Snowflake SENIOR SALES ENGINEER 

India, Maharashtra, Mumbai 

88275705

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 10-12 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

• Python knowledge would be a bonus!

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.) and cloud data 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

• Sound understanding and experience in the Indian 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