Commercial Solution Engineer
The Commercial Solution Engineer partners with sales teams and customers in France to demonstrate Snowflake, guide evaluations and proofs of concept, and design data solutions. The role requires customer-facing presentation skills, SQL, and experience with data architecture, analytics, or cloud technology.
About the job
Responsibilities
- Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers.
- Demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demos and proofs of concept through design and implementation.
- Create and develop technical champions within accounts to drive deals and achieve technical wins.
- Present Snowflake roadmap features and functionality to customers and prospects.
- Maintain a deep understanding of competitive and complementary technologies and vendors, and position Snowflake accordingly.
- Collaborate with sales engineers, Product Management, Engineering, Marketing, and ecosystem and implementation partners.
- Represent Snowflake at industry and customer events.
- Build joint architectures and collaborate on account strategies and initiatives with partners.
Requirements
- Sales engineering or solution architecture experience in a SaaS environment, or relevant experience in analytics, data science, or data engineering.
- Fluent or native French-language skills for the French market.
- Outstanding presentation skills for technical and executive audiences.
- Understanding of and experience with data architecture, data analytics, and cloud technology.
- Hands-on experience with SQL.
- Ability to solve customer-specific business problems and apply Snowflake solutions.
- Strong customer-facing written and verbal communication skills.
Nice-to-haves
- Hands-on experience with Python.
- Experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git.
- Experience with data science and machine learning technologies.
Skills
SQL, Python, Snowflake, Data Architecture, Data Analytics, Cloud Technology, dbt, Spark, Containers, DevOps, Git, Machine Learning
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