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Commercial Solution Engineer(m/w/x)
Designing data architecture and analytics solutions on Snowflake for AI-native enterprises. Solution Engineering/Architect experience in SaaS or relevant industry required. Collaboration with sales teams and channel partners.
Requirements
- Solution Engineering/Architect experience in SaaS or relevant industry
- Outstanding presentation skills to technical/executive audiences
- Understanding of and experience with data architecture, analytics, cloud
- Hands-on SQL experience
- Ability to solve customer business problems with Snowflake solutions
- Customer-facing communication skills to technical/executive audiences
- Hands-on Python experience
- Experience with modern data technology (dbt, spark, containers, devops, git)
- Experience with data science and machine learning technology
- Ability to build connections, relationships, and trust with customers
- Love of learning
- Openness to giving and receiving feedback
- Passion for customer and team success
- Willingness to apply even if not ticking every box
Tasks
- Solve complex customer problems
- Collaborate with account sales team and channel partners
- Understand and support customer needs
- Strategize on customer evaluations
- Help customers choose Snowflake solutions
- Translate features into business solutions
- Present Snowflake technology to executives and technical teams
- Demonstrate Snowflake value through hands-on interactions
- Create and develop technical champions
- Stay updated on Snowflake technology and roadmap
- Maintain knowledge of competitive and complementary technologies
- Position Snowflake effectively in the market
- Learn from sales wins and losses
- Collaborate with sales engineers
- Work with Product Management, Engineering, and Marketing
- Represent Snowflake at industry events
- Build joint architectures with ecosystem partners
- Collaborate on account strategies and initiatives
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SaaS
- analytics
- data science
- data engineering
- SQL
- Python
- dbt
- spark
- containers
- devops tooling
- orchestration tools
- git
- data architecture
- data analytics
- cloud technology
- machine learning technology
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Commercial Solution Engineer(m/w/x)
Designing data architecture and analytics solutions on Snowflake for AI-native enterprises. Solution Engineering/Architect experience in SaaS or relevant industry required. Collaboration with sales teams and channel partners.
Requirements
- Solution Engineering/Architect experience in SaaS or relevant industry
- Outstanding presentation skills to technical/executive audiences
- Understanding of and experience with data architecture, analytics, cloud
- Hands-on SQL experience
- Ability to solve customer business problems with Snowflake solutions
- Customer-facing communication skills to technical/executive audiences
- Hands-on Python experience
- Experience with modern data technology (dbt, spark, containers, devops, git)
- Experience with data science and machine learning technology
- Ability to build connections, relationships, and trust with customers
- Love of learning
- Openness to giving and receiving feedback
- Passion for customer and team success
- Willingness to apply even if not ticking every box
Tasks
- Solve complex customer problems
- Collaborate with account sales team and channel partners
- Understand and support customer needs
- Strategize on customer evaluations
- Help customers choose Snowflake solutions
- Translate features into business solutions
- Present Snowflake technology to executives and technical teams
- Demonstrate Snowflake value through hands-on interactions
- Create and develop technical champions
- Stay updated on Snowflake technology and roadmap
- Maintain knowledge of competitive and complementary technologies
- Position Snowflake effectively in the market
- Learn from sales wins and losses
- Collaborate with sales engineers
- Work with Product Management, Engineering, and Marketing
- Represent Snowflake at industry events
- Build joint architectures with ecosystem partners
- Collaborate on account strategies and initiatives
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SaaS
- analytics
- data science
- data engineering
- SQL
- Python
- dbt
- spark
- containers
- devops tooling
- orchestration tools
- git
- data architecture
- data analytics
- cloud technology
- machine learning technology
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Snowflake
Industry
IT
Description
The company develops a cloud data platform that combines data warehousing, big data flexibility, and cloud elasticity.
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