Why This Job is Featured on The SaaS Jobs
This Senior Solution Engineer position sits at a common pressure point in enterprise SaaS: translating a technically sophisticated platform into outcomes that resonate with both executives and hands-on builders. With a focus on Healthcare and Life Sciences, the role reflects how horizontal cloud data platforms are increasingly sold through industry-specific narratives, where security, governance, and measurable impact tend to shape evaluation cycles.
From a SaaS career perspective, the work builds durable pre-sales muscle across discovery, demo design, proof-of-concept execution, and competitive positioning. It also creates repeated exposure to how large organizations buy software, including stakeholder mapping, architectural validation, and value framing over multi-step sales motions. The emphasis on cloud, analytics, and AI-related solutions aligns with the direction many SaaS platforms are taking, making the experience portable across data, infrastructure, and application-layer vendors.
The role is best suited to professionals who enjoy operating between business and technical contexts and who prefer customer-facing problem solving over purely internal delivery. It fits someone comfortable with ambiguity during evaluations, willing to develop point of view on emerging tooling, and interested in partnering closely with sales while still staying grounded in technical credibility.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business.
As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.
IN THIS ROLE YOU WILL GET TO:
Present Snowflake technology and vision to executives and technical contributors at prospects and customers
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
Immerse 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.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
7-8 years of industry experience with a minimum of 5 years within a pre-sales environment
Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
Hands-on expertise with SQL,SQL analytics, and Python.
Ability to connect a customer’s specific business problems and Snowflake’s solutions
Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space.
A proven ability to leverage AI code generation tools to accelerate productivity and efficiency.
University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in DataScience or Business Administration is a plus.
Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
Expect approximately 30% travel
About Our Team:
Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone.
About Snowflake:
Snowflake is growing fast and we’re scaling our team to help enable and accelerate our growth. We’re passionate about our people, our customers, our values and our culture! We’re also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging.
Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
