The Solutions Architect for the professional services team will be responsible for driving customer enablement and adoption. The Solutions Architect is a technical resource that provides technical guidance and expertise on the use of the Snowflake service.
This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects at a very exciting time for the company. Snowflake is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience managing complex customer communities and possess excellent presentation and listening skills, organisation and contact management capabilities, we’d love to hear from you.

As a Solutions Architect at Snowflake you will:

• May be named to several Snowflake customers
• Lead technical pieces of client data warehouse implementations and on-boarding efforts
• Work with the other Customer Engagement and Delivery matrix resources to ensure proper technical guidance, project management and functional support
• Collaborate as needed with Product Management, Engineering, Sales, Sales Engineering, and Professional Services teams
• Help clients troubleshoot the implementation of the product within their systems
• Identify, document, triage and track issues to ensure resolution
• Work with Product Management and Support as necessary when a scoped implementation or product feature cannot be implemented or does not meet the client’s needs
• Play an active role contributing to the growth and scalability of the Customer Delivery and Training and Education teams through robust documentation, continuous process optimization, and capability cross-training
• Apply industry/domain/technology expertise to client implementations
• Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities

Our ideal Solutions Architect will include:

• 7+ years of experience in a customer facing technical role
• Strong database and data warehouse experience, including recent experience writing and tuning complex SQL queries
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack)
• Experience implementing ETL pipelines using custom and packaged tools
• Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data Pipeline
• Presence: enthusiastic and high energy, but also poised, confident and extremely professional
• Innovative and assertive, with the ability to pick up new technologies and assess situations quickly
• Exercises listening, takes time to truly understand client needs and address them
• Track record of delivering results in a dynamic enterprise or start-up environment
• Experience working cross functionally with teams such as Support and Engineering
• Strong sense of ownership and high attention to detail
• Creative and analytical problem-solving skills
• Excellent written and verbal communication skills
• Ability to work on several projects simultaneously and meet stated quality objectives

Bonus points for experience with the following:

• Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
• Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau); it is not expected you will be an expert with any integrated upstream or downstream tools used to access data in Snowflake