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.
There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
We are looking for world-class solution engineers to join our field teams whose technical skills and customer savvy will help customers understand and utilize the value of the cutting-edge data platform that we are building.
The Solution Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing. She/he will be responsible for providing the technical expertise to make Snowflake customers successful. This solution engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, security, performance analysis, analytics, etc. He/she 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 person we’re looking for shares our passion about reinventing the data platform and thrives in a dynamic environment. That means having the flexibility and willingness to jump in and get done what needs to be done 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. And it means working 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
MINIMUM REQUIREMENTS:
Minimum 6 years of experience working with customers in a technical pre-sales role
Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Understanding of complete data stack and workflow, from ETL to data platform design to BI and analytics tools
Strong skills in databases, data warehouses, and data processing
Hands-on expertise with SQL and SQL analytics
STRONGLY DESIRED:
Strong Data Science/AI/ML experience across a variety of 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
Data Science knowledge and experience
Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.)
Software development experience with C/C++ or Java
Scripting experience with Python, Ruby, Perl, Bash
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
ADDED BONUS FOR:
Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase, etc)
Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau, etc)
Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc)
Experience implementing ETL pipelines using custom and packaged tools
Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data Pipeline
Experience selling enterprise SaaS software
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