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Описание вакансии
TL;DR
Senior Solution Engineer for the UK (Data Cloud/SaaS): Helping customers solve complex data challenges by presenting, demonstrating, and designing Snowflake solutions throughout the sales cycle with an accent on data architecture, analytics, cloud technology, and customer-facing technical strategy. Focus on building proofs of concept, developing technical champions, creating joint architectures with partners, and translating advanced platform capabilities into business outcomes.
Location: London, United Kingdom
Company
Snowflake provides a cloud data platform that helps organizations use, analyze, and build value from their data.
What you will do
- Present Snowflake’s technology and vision to executives, technical contributors, prospects, and customers.
- Demonstrate the platform and communicate its value through demos, proofs of concept, design, and implementation discussions.
- Translate customer business problems into effective Snowflake solutions and develop technical champions within accounts.
- Build joint architectures and account strategies with sales teams, channel partners, and implementation partners.
- Stay current with Snowflake’s roadmap, competitive technologies, and the broader data industry.
- Collaborate with Product Management, Engineering, Marketing, sales engineers, and ecosystem partners to improve products and customer outcomes.
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 communication skills for both technical and executive audiences.
- Experience with data architecture, data analytics, and cloud technology.
- Hands-on SQL experience and the ability to solve customer-specific business problems.
- Strong customer-facing skills across written, verbal, presentation, whiteboard, and demonstration formats.
Nice to have
- Experience in financial services.
- 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.
Culture & Benefits
- Work in a fast-moving environment with an experimental, AI-native mindset.
- Collaborate openly, give and receive feedback, and learn from successes and failures.
- Contribute to a rapidly growing company focused on innovation and customer success.
- Represent Snowflake at industry and customer events.
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