Solution Engineer - Emerging Enterprise FS
Supports enterprise customers through technical evaluations of Snowflake, from demonstrations and proofs of concept to solution design. The role requires solution engineering or architecture experience, strong executive and technical presentation skills, SQL, and knowledge of data and cloud technologies.
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.
- Develop technical champions within accounts to drive deals and achieve technical wins.
- Present Snowflake roadmap features and functionality to customers and prospects.
- Maintain knowledge of competitive and complementary technologies and vendors, and position Snowflake accordingly.
- Collaborate with sales engineers, Product Management, Engineering, Marketing, ecosystem partners, and implementation partners.
- Build joint architectures, contribute to account and territory plans, and execute account strategies.
- Represent Snowflake at industry and customer events.
Requirements
- Experience as a solution engineer or solution architect in a SaaS environment, or relevant experience in analytics, data science, or data engineering.
- Outstanding presentation skills for technical and executive audiences, including whiteboarding, presentations, and demos.
- Understanding of data architecture, data analytics, and cloud technology.
- Hands-on SQL experience.
- Ability to solve customer-specific business problems and apply Snowflake solutions.
- Strong written and verbal customer-facing communication skills.
Nice-to-haves
- Banking experience.
- Hands-on Python experience.
- Experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git.
- Experience with AI, 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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