Solution Engineer

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

Solution Engineer role at Snowflake, focusing on empowering customers with Snowflake's data platform and vision, especially in the context of the 'agentic enterprise'. The role involves technical expertise, customer-facing presentations, demos, proof-of-concepts, and consultative assistance, working closely with Sales, Product, Engineering, and Marketing. Requires strong competency in modern data stacks, ETL/ELT, data science, and SQL, with a bonus for Python. Experience in AI/ML is a plus.

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

  • SQL
  • customer-facing solution engineering
  • modern data stacks
  • ETL/ELT
  • data warehouse/lake
  • data science
  • data apps
  • presenting to technical and executive audiences
  • demos
  • proof of concepts
  • architecture and implementation consultation

Nice to have

  • Python
  • Data Science knowledge and experience
  • Software development experience with Java, Spark and other scripting languages
  • large-scale database technology
  • cloud data platforms
  • selling data and/or analytics software
  • Indian market and technology ecosystem
  • AI/ML experience
  • BI and data exploration tools (e.g. Tableau, PowerBI, Metabase)
  • Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud
  • AWS or Azure native services (e.g., S3, Glue, SageMaker, Blob Storage, Data Factory, Database Migration Services)
  • OLAP Data modeling
  • data architecture experience
  • enterprise SaaS software selling
  • enterprise software start-ups

What the JD emphasized

  • Minimum 10+ years of experience working in customer facing solution 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
  • Data Science knowledge and 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; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
  • 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