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Snowflake SALES ENGINEER 
India, Delhi, Delhi 
442759101

02.07.2024

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