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Data Engineering Solutions Specialist

Snowflake · US, Remote

Big Tech AIremoteprincipal$154k–$202k
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At a glance

Highlights

  • Drive pipeline and revenue for allocated accounts and territory.
  • Partner with field teams to guide customer adoption from discovery to deployment.
  • Translate customer needs into input for Snowflake's product roadmap.

Ideal candidate

Low-ego, AI-curious enterprise seller energized by experimentation who thrives partnering with customers and field teams to grow adoption and revenue.

Requirements

  • 10+ years of professional experience and at least 6 years sales experience with consistently exceeding sales objectives selling technical solutions and software products into the enterprise market
  • A strong track record of meeting or exceeding revenue targets in highly competitive markets
  • Familiarity with solution-based approach to selling, experience managing a complex sales process and excellent presentation and listening skills, organization and contact management capabilities
  • Proven ability to independently manage, develop, and close new client relationships
  • Strong presentation and communication skills, capable of engaging with senior executives and key decision-makers at both technical and business levels
  • In-depth knowledge of Data Engineering, Data Lakehouse, Ingestion and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains
  • Strong ability to work across cross-functional teams including Sales Engineering, Professional Services, Marketing, and Product
  • Experience operating in overlay sales role and/or driving product consumption through workloads and use cases
  • Technical background with an understanding of the data space and market
  • Bachelor's Degree

Lab profile

About Snowflake

Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.

What they build

  • Snowflake Data Cloud
  • Data warehousing and data lakes
  • Snowpark developer framework

Known for

  • Elastic scalable cloud architecture
  • Secure governance and data sharing
  • Multi-cloud analytics and AI

Key facts

  • Founded in 2012
  • Headquartered in Bozeman, Montana
  • Public company (NYSE: SNOW)
More about Snowflake →
Apply on the lab’s site ↗

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