Senior Solution Engineer

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in IL
Remote
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Lead technical sales engagements for Snowflake’s data cloud platform in Israel. Partner with account teams, channel partners, and customers to understand requirements, demonstrate solutions, conduct proofs of concept, develop technical champions, and guide architecture and implementation decisions. Present to executives and technical audiences, stay current on data and AI technologies, collaborate with Product, Engineering, Marketing, and partners, and support account and territory strategies.
Summary Generated by Built In

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 looking for a Senior Solution Engineer based in Israel to solve our customers' most complex data and platform challenges. This hybrid role requires two days a week in the office, with the remaining time dedicated to customer visits.

In this role, you will work directly with the account sales team and channel partners across the region to understand customer needs, strategize on how to best support them through their technical evaluations, and guide them in choosing Snowflake as their core data cloud solution.

As a Snowflake Solution Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and put them into practice on real world challenges. You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users or executives.

 
In this role you will get to:
  • Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers

  • Work hands-on with customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation

  • Create and develop technical champions in your accounts to drive deals and achieve a technical win

  • Be at the cutting edge of Snowflake technology and confidently present Snowflake roadmap features and functionality to customers and/or prospects

  • Immerse and enable yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them

  • Work closely with other sales engineers to make each other the best and constantly learn from wins and losses

  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

  • Represent Snowflake at industry or customer events

  • Work with our ecosystem and implementation partners to build joint architectures or collaborate on account strategies and initiatives to help our customers be successful

  • Proactively contribute and help co-develop Account & territory plans and execute while engaging with the broader internal/external ecosystem.

 
On day one we will expect you to have:
  • Solution engineering/solution architect experience in a SaaS environment or relevant industry experience (data science, data engineering etc)

  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos

  • Understanding of and experience with data architecture, data analytics and cloud technology

  • Hands on experience with SQL

  • Ability to solve customer specific business problems and apply Snowflake’s solutions

  • Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbal

     
Preferred (but not required) to have:
  • Hands on experience with Python

  • Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.)

  • Experience with AI, data science and machine learning technologies

     

People want to buy from people who understand them. Our Solution Engineers build connections, relationships and trust with our customers that last. We love to learn, are open to giving and receiving feedback and are passionate about making our customers and each other successful.

Think you have what it takes but not sure that you tick every box above? Apply anyways! We value the broad range of experience our teams bring to the table and believe our customers are more successful because of it.

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

Skills Required

  • Solution engineering or solution architecture experience in a SaaS environment or relevant data industry
  • Outstanding presentation skills for technical and executive audiences
  • Understanding of data architecture, data analytics, and cloud technology
  • Hands-on experience with SQL
  • Ability to solve customer-specific business problems using Snowflake solutions
  • Strong customer-facing written and verbal communication skills
  • Hands-on experience with Python
  • Experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, or Git
  • Experience with artificial intelligence, data science, or machine learning technologies

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is widely viewed as competitive and aligned with market value, with “fair pay” and top-tier total compensation frequently cited for engineering and technical roles.
  • Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering.
  • Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs.

Snowflake Insights

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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