Назад
6 часов назад

Solution Engineer (Data)

165 000 - 216 562$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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): Driving complex sales cycles and technical demonstrations for a cloud-based data platform with an accent on database architecture, ETL, and analytics. Focus on bridging business requirements with technical solutions, conducting proof of concepts, and positioning Snowflake's value to executive and technical stakeholders.

Location: Must be based in Florida, Tennessee, Mississippi, or Alabama

Salary: $165,000 – $216,562

Company

Snowflake is a cloud-based data platform provider powering the era of the agentic enterprise.

What you will do

  • Present Snowflake technology and vision to executive and technical audiences.
  • Lead hands-on demonstrations and proof of concepts throughout the sales cycle.
  • Connect customer business problems to Snowflake data architecture solutions.
  • Maintain deep understanding of competitive and complementary data technologies.
  • Collaborate with Product, Engineering, and Marketing teams to improve product offerings.

Requirements

  • Must be based in Florida, Tennessee, Mississippi, or Alabama.
  • 7-8 years of industry experience with at least 5 years in a pre-sales environment.
  • Hands-on expertise with SQL, SQL analytics, and Python.
  • Broad experience with large-scale data warehouses, ETL, and cloud technologies.
  • Outstanding presentation skills for both technical and executive audiences.
  • Ability to travel approximately 30% of the time.

Nice to have

  • Experience working with GSIs like EY, Deloitte, or Accenture.
  • Masters degree in Data Science or Business Administration.

Culture & Benefits

  • Opportunity to work in a fast-growing, innovative environment.
  • Focus on AI-native thinking and experimental mindset.
  • Collaborative culture emphasizing low-ego and high-impact problem solving.
  • Commitment to data security and confidentiality standards.

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