Senior Solution Engineer

Snowflake Snowflake · Data AI · Mumbai-MSO, IN · Solution Engineering

Snowflake is seeking AI-native thinkers to join their Sales Engineering team to help customers leverage Snowflake's platform for the agentic enterprise. The role involves providing technical expertise, building demos, executing proof-of-concepts, and offering consultative assistance on architecture and implementation, working closely with Sales, Product, Engineering, and Marketing.

What you'd actually do

  1. Present Snowflake technology and vision to executives and technical contributors at prospects and customers
  2. 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
  3. Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
  4. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
  5. Be an advocate and develop mutual trust with the technical audience on the customer side

Skills

Required

  • customer facing sales engineering (tech pre-sales) experience
  • modern data stacks
  • ETL/ELT
  • data warehouse/lake
  • data science
  • data apps
  • presenting to technical and executive audiences
  • SQL

Nice to have

  • Python knowledge
  • 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 Commercial customers
  • Sound understanding and experience in the Indian market and technology ecosystem
  • 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

What the JD emphasized

  • customer-facing sales engineering (tech pre-sales) role
  • SQL
  • Data Science knowledge and experience
  • Extensive knowledge of and experience with large-scale database technology
  • Experience and track record of success selling data and/or analytics software to Commercial customers
  • Strong Data Science/AI/ML experience