Why This Job is Featured on The SaaS Jobs
This Solution Engineer role sits at a classic SaaS intersection: translating a cloud data platform into outcomes that resonate with both technical teams and executive stakeholders. In the broader SaaS ecosystem, solution engineering is where product capability, customer context, and commercial motion meet, and Snowflake’s focus on modern data stacks makes the work especially tied to current cloud adoption patterns.
From a career standpoint, the remit builds durable SaaS leverage: shaping demos and proofs of concept, guiding architectural conversations, and developing a working understanding of competitive and complementary technologies. The exposure to data warehousing, ETL and ELT, security, performance, and analytics mirrors the cross-functional problem set that many SaaS companies face as they move from initial evaluation to implementation and expansion.
This position is best suited to professionals who enjoy being the technical voice in customer conversations while staying hands-on enough to build and troubleshoot. It will fit someone who can switch between whiteboard-level explanation and implementation detail, and who values collaboration across Sales, Product, Engineering, and Marketing. Candidates interested in cloud data platforms and consultative pre-sales work will find the scope aligned with long-term SaaS applicability.
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.
The Solution Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to make Snowflake customers successful. The solution engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. You will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.
The Solution Engineer has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. You will work collaboratively with a broad range of people, both inside and outside the company.
RESPONSIBILITIES:
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
Maintain 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
Be an advocate and develop mutual trust with the technical audience on the customer side
MINIMUM REQUIREMENTS:
Minimum 5+ years of experience working in customer facing solution engineering (tech pre-sales) role
Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps
Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Hands-on expertise with SQL
Python knowledge would be a bonus!
STRONGLY DESIRED:
Data Science knowledge and experience
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
Software development experience with Java, Spark and other scripting languages
Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms
Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
Sound understanding and experience in the Indian market and technology ecosystem
ADDED BONUS FOR:
Strong Data Science/AI/ML experience across a variety of platforms
Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc)
Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud
Experience using AWS or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration Services
OLAP Data modeling and data architecture experience
Experience selling enterprise SaaS software
Proven success at enterprise software start-ups
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
