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Data Engineering Solutions Specialist

Snowflake · US, Remote

Location
US, Remote
Workplace
Remote
Employment
Full time
Posted
Today

About this role

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is seeking an accomplished Principal level Data Engineering Solutions Specialist (Openflow and Iceberg/Polaris) to drive sales execution for our ingestion workloads. This is a strategic role that works closely with the broader field organization to ensure the successful customer adoption of Snowflake’s Data Engineering and Data Lake capabilities.

Responsibilities:

  • Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list

  • Execute tailored sales plays to capture market opportunities in Data Engineering, helping customers optimize their use of Snowflake's platform.

  • Work directly with customers to understand their Data Engineering needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements.

  • Become an expert in Snowflake’s Data Engineering and Data Lakehouse capabilities and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s Data Engineering capabilities.

  • Work with our Account Executives, Sales Engineers, Leadership and Field CTOs to drive customer engagements from discovery and qualification through solution implementation and deployment

  • Track, analyze, and report on Data Engineering sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement

  • Partner with the broader cross-functional organization to integrate Data Engineering sales efforts with Snowflake’s overall go-to-market plans.

  • Driving the forecast of the region and exceeding revenue targets on consumption

Minimum Qualifications:

  • 10+ years of professional experience and at least 6 of 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

  • A familiarity with solution-based approach to selling, have experience managing a complex sales process and possess 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

Preferred Qualifications:

  • 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

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

As published by Snowflake. Applications are handled on their site.

One click, then it is written

Apply to Snowflake with a resume written for this role.

Queue Data Engineering Solutions Specialist and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Snowflake’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 25 sent a week, free
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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

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