Data Engineering Solutions Specialist

🕒 August 8

🇺🇸 United States – Remote

💵 $153.6k - $201.6k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 Description

• Achieve quarterly and annual pipeline generation and revenue targets for allocated accounts and/or territory • Develop sales strategies for allocated territories using target account lists • Execute tailored sales plays for Data Engineering market opportunities • Help customers optimize their use of Snowflake’s platform • Understand customers’ Data Engineering needs and communicate insights to inform Snowflake’s product roadmap • Provide executive-level insights on Snowflake’s Data Engineering and Data Lakehouse capabilities to customers and partners • Guide strategic discussions emphasizing the value of Snowflake’s Data Engineering capabilities • Collaborate with Account Executives, Sales Engineers, Leadership, and Field CTOs • Drive customer engagements from discovery and qualification through solution implementation and deployment • Track, analyze, and report Data Engineering sales performance metrics • Use data-driven insights to optimize strategies and drive continuous improvement • Partner with cross-functional teams to integrate Data Engineering sales efforts with Snowflake’s go-to-market plans • Drive regional forecasting and exceed consumption revenue targets

🎯 Requirements

• 10+ years of professional experience • At least 6 years of sales experience exceeding sales objectives while selling technical solutions and software products into the enterprise market • Strong track record of meeting or exceeding revenue targets in highly competitive markets • Familiarity with solution-based selling • Experience managing complex sales processes • 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 with senior executives and key decision-makers at technical and business levels • In-depth knowledge of Data Engineering, Data Lakehouse, Ingestion, and Transformation technologies • Proven expertise driving successful sales initiatives in these domains • Ability to work across Sales Engineering, Professional Services, Marketing, and Product teams • Experience operating in an 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 is preferred

🏖️ Benefits

• Commission plan eligibility; total on-target earnings of $256,000 - $336,000 • Equity plan eligibility • Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) retirement plan • Flexible spending account • Health savings account • At least 12 paid holidays • Paid time off • Parental leave • Employee assistance program • Other company benefits