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Описание вакансии
Текст:
TL;DR
Associate Solution Engineer (SaaS/Data): Helping customers evaluate and adopt Snowflake technology by presenting solutions, running demonstrations, and supporting proofs of concept with an accent on data architecture, analytics, cloud technology, and customer-facing technical communication. Focus on solving customer-specific business problems, designing joint architectures, and translating evolving platform capabilities into practical solutions for technical and executive audiences.
Location: GB-London, United Kingdom
Company
Snowflake develops technology that helps organizations use and gain value from their data assets.
What you will do
- Work with account sales teams and channel partners to understand customer needs and support solution evaluations.
- Present Snowflake technology and vision to technical contributors, executives, prospects, and customers.
- Demonstrate Snowflake technology and communicate its value throughout the sales cycle, from demos and proofs of concept through design and implementation.
- Build technical champions within customer accounts to support deals and achieve technical wins.
- Present current and roadmap functionality while maintaining knowledge of competitive and complementary technologies.
- Collaborate with sales engineers, Product Management, Engineering, Marketing, and implementation partners on architectures, account strategies, and product improvements.
Requirements
- Experience in sales engineering or solution architecture in a SaaS environment, or relevant experience in analytics, data science, or data engineering.
- Outstanding presentation skills for technical and executive audiences, including impromptu whiteboard sessions, presentations, and demos.
- Understanding of data architecture, data analytics, and cloud technology.
- Hands-on experience with SQL.
- Ability to solve customer-specific business problems and apply Snowflake solutions.
- Strong written and verbal customer-facing communication skills.
Nice to have
- Hands-on experience with Python.
- Experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, or Git.
- Experience with data science and machine learning technologies.
Culture & Benefits
- AI-native, experimental approach to solving problems and improving how work gets done.
- Collaborative environment focused on learning from successes and setbacks.
- Opportunities to represent Snowflake at industry and customer events.
- Emphasis on building lasting customer relationships, trust, and technical expertise.
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