Snowflake PRE-SALES ARCHITECT - DATA ENGINEERING 

United States 

764576813

• Be a technical expert on all aspects of Snowflake in relation to data engineering workloads.
• Work with Professional Services Practice Directors and Managers on sales pursuits to:
• Understand customer requirements
• Present high level architecture solutions using Snowflake
• Scope and present project plans and effort estimates to deliver data engineering solutions
• Consult with customers in sales workshops where needed using SQL, Python, Java and/or Scala to understand their data engineering workload / use case.
• Understand best practices related to Snowflake data engineering capabilities.
• Maintain deep understanding of competitive and complementary technologies and vendors within the data engineering space, and how to position Snowflake in relation to them
• Understand our partner system relationships in order to properly position them in the scoping and delivery of data engineering use cases.
• Provide guidance on how to resolve customer-specific technical challenges.
• Assist in writing Statements of Work
• Identify selling patterns within the data engineering space, creating go to market options for our PS Sellers to leverage
• Enable PS Sellers with technical knowledge to scale our ability to sell data engineering solutions
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

• Minimum 10 years experience working with customers in a pre-sales or post-sales technical role.
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Thorough understanding of the complete Data Engineering life-cycle
• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
• Experience with Databricks/Apache Spark
• Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
• Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.
• University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience

• Experience with Snowflake Snowpark
• Experience in Data Science
• Experience implementing data pipelines using ETL tools
• Experience working with RDBMS data warehouses
• Proven success at enterprise software
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $162,000 - $231,000.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.