Назад
5 дней назад

Senior Solution Engineer (SaaS)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Solution Engineer (SaaS): Solving complex customer data challenges and driving technical wins through the design and implementation of Snowflake solutions with an accent on data architecture and cloud technology. Focus on developing proof of concepts, presenting technical roadmaps to executives, and aligning product capabilities with business needs.

Location: Must be based in London, GB

Company

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

What you will do

  • Present Snowflake’s technology and vision to technical contributors and executives at prospect and customer accounts.
  • Deliver hands-on demonstrations and Proof of Concepts (PoCs) to communicate the value of the technology throughout the sales cycle.
  • Collaborate with account sales teams and channel partners to strategize and support customer evaluations.
  • Develop technical champions within accounts to secure technical wins and drive deals.
  • Partner with Product Management, Engineering, and Marketing to continuously improve products and marketing strategies.
  • Build joint architectures with ecosystem and implementation partners to ensure customer success.

Requirements

  • Experience in solution engineering or architecture within a SaaS, analytics, or data engineering environment.
  • Proficiency in SQL and a strong understanding of data architecture and cloud technology.
  • Outstanding presentation and communication skills for both technical and executive audiences.
  • Proven ability to translate technical features into solutions that solve specific business problems.
  • Must be located in London, UK.

Nice to have

  • Experience in the Financial Services Industry (FSI).
  • Hands-on experience with Python.
  • Experience with modern data technology such as dbt, Spark, containers, DevOps tooling, and orchestration tools.
  • Familiarity with AI, data science, and machine learning technologies.

Culture & Benefits

  • Experimental mindset where AI is treated as a high-trust collaborator to accelerate impact.
  • Low-ego, dynamic, and fast-moving work environment.
  • Culture of continuous learning, openness to feedback, and mutual success.
  • Opportunity to help redefine the future of work within a rapidly scaling global company.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →