Data Engineering Solutions Specialist
Snowflake · US, Remote
Big Tech AIremoteprincipal$154k–$202k
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)
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