Senior Solution Engineer
SnowflakeHighlight
Summary
About the Role
About You
- 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.
- Broad experience with large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies.
- Hands-on expertise with SQL, SQL analytics, and Python.
- Ability to connect customer business problems with Snowflake solutions.
- University degree in computer science, engineering, mathematics, or related fields.
- Experience with GSIs (EY, Deloitte, Accenture, etc.).
- Masters in Data Science or Business Administration.
Benefits
- Medical, dental, vision, life, and disability insurance.
- 401(k) retirement plan.
- Flexible spending & health savings account.
- At least 12 paid holidays.
- Paid time off.
- Parental leave.
- Employee assistance program.
- Participation in Snowflake's commission and equity plans.
Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. http://www.snowflake.com