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Описание вакансии
Текст:
TL;DR
Senior Solution Engineer (Data/SaaS): Demonstrating and positioning Snowflake’s cloud data platform for Swiss customers through presentations, demos, proofs of concept, and solution design with an accent on data architecture, analytics, cloud technology, and customer-specific business problems. Focus on building technical champions, designing joint architectures with partners, and translating evolving platform capabilities into solutions for technical and executive audiences.
Location: Remote, Switzerland
Company
Cloud data platform company helping organizations solve complex data challenges and maximize the value of their data assets.
What you will do
- Present Snowflake technology, vision, roadmap features, and functionality to executives and technical stakeholders.
- Demonstrate Snowflake’s value throughout the sales cycle, from discovery and demos through proofs of concept, design, and implementation.
- Translate platform capabilities into solutions for customer-specific business problems and create technical champions within customer accounts.
- Collaborate with account sales teams, channel and implementation partners, Product Management, Engineering, Marketing, and other sales engineers.
- Develop joint architectures, account and territory plans, and strategies that support customer success and technical wins.
- Represent Snowflake at industry and customer events while maintaining knowledge of competitive and complementary technologies.
Requirements
- Senior solution engineering or solution architecture experience in a SaaS environment or a relevant field such as analytics, data science, or data engineering.
- Outstanding presentation and customer-facing communication skills for technical and executive audiences.
- 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.
- Experience supporting the Swiss market.
Nice to have
- Hands-on experience with Python.
- 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.
Culture & Benefits
- Remote full-time role within the Solution Engineering department.
- Collaborative environment focused on learning, feedback, and shared customer success.
- Opportunity to work with evolving data and AI technologies and contribute to product and marketing improvements.
- Work alongside sales, engineering, product, marketing, and ecosystem partners.
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