Solutions Architect

Summary

Join the Snowflake team to build the future of data. As a Solutions Architect in the Professional Services team, you will deliver technical solutions to customers and help them maximize their use of Snowflake.

Requirements

• At least 8-10 years of experience in a pre-sales or post-sales technical role
• Ability to accurately identify customer needs and propose and drive project execution plans
• Excellent presentation and demo skills targeting technical and executive-level customers
• Understanding of the entire data analysis stack and workflow from ETL to BI and analytics tools
• Design and implementation skills for databases, data warehouses, and data processing technologies
• Rich experience with SQL and SQL analysis
• Deep knowledge and experience with large-scale database technologies (Netezza, Exadata, Teradata, Greenplum)
• Experience with scripting languages such as Python, Ruby, Perl, or Bash
• Ability to work on-site with customers and be flexible for travel when needed

Responsibilities

• Deliver technical solutions to customers
• Connect specific business problems with Snowflake's solutions and communicate the relevance and vision to various stakeholders
• Share knowledge and best practices to enable customers to understand and extend Snowflake's features
• Communicate with customers directly and demonstrate best practices for implementing Snowflake technology
• Collaborate with SI vendors to successfully position and deploy Snowflake in customer environments at a deep technical level
• Provide guidance on solving customers' unique technical problems
• Support other team members in developing their expertise
• Collaborate with product management, engineering, and marketing to continuously improve Snowflake's products and marketing

Preferred Qualifications

• Experience and knowledge of large-scale data processing tools (e.g. Spark, Hadoop, HBase)
• Understanding and experience with general BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau)
• Experience with custom and packaged tool implementations for ETL pipelines
• Experience and understanding of large-scale infrastructure service platforms (e.g. Amazon AWS, Microsoft Azure, Google Cloud Platform)

Benefits

• Retirement plan (DC)
• RSU
• Support for mobile data usage and personal exercise costs
• Health examination fee support for employee and one dependent
• Paid parental leave
• Year-end vacation