Назад
4 дня назад

Solution Engineer (Data)

Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Solution Engineer (Data): Solving complex data challenges for UK customers by designing and demonstrating Snowflake's cloud platform with an accent on data architecture and technical value communication. Focus on conducting proof-of-concepts, driving technical wins, and collaborating with product teams to refine the platform.

Location: GB-London

Company

Snowflake is a cloud-based data platform powering the era of the agentic enterprise through AI-native solutions.

What you will do

  • Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers.
  • Conduct hands-on demos and Proof of Concepts (PoCs) to communicate the technical value throughout the sales cycle.
  • Develop technical champions within accounts to drive deals and achieve technical wins.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products.
  • Partner with ecosystem and implementation partners to build joint architectures and execute account strategies.
  • Proactively contribute to the development and execution of account and territory plans.

Requirements

  • Experience in solution engineering or solution architecture within a SaaS environment or related data industry.
  • Strong understanding of data architecture, data analytics, and cloud technology.
  • Hands-on proficiency with SQL.
  • Outstanding presentation and communication skills for both technical and executive audiences.
  • Ability to translate complex business problems into effective technical solutions.

Nice to have

  • Experience in the Banking sector.
  • Hands-on experience with Python.
  • Knowledge of modern data technology such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git.
  • Experience with AI, data science, and machine learning technologies.

Culture & Benefits

  • Focus on building long-term connections, relationships, and trust with customers.
  • Collaborative environment based on open feedback and mutual success.
  • Dynamic, fast-moving environment with an experimental mindset.
  • Opportunity to work at the cutting edge of AI and data technology.

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