Senior Software Engineer, Data
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
$214,300 – $238,100Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess 7-8 years of industry experience with a minimum of 5 years in a pre-sales environment, outstanding presenting skills for both technical and executive audiences, broad experience with large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies such as Data Lake, Data Mesh, and Data Fabric, hands-on expertise with SQL and Python, and the ability to connect customer business problems with Snowflake solutions. A university degree in computer science, engineering, mathematics, or a related field, or equivalent experience, is preferred, with a Master’s degree in Data Science or Business Administration being a plus. Experience with Global System Integrators (GSIs) like EY, Deloitte, or Accenture would be beneficial.
Responsibilities
As a Senior Solution Engineer, you will 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, immerse yourself in the evolving industry to maintain a deep understanding of competitive technologies, collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products, and ultimately close business. You will connect a customer’s specific business problems and Snowflake’s solutions, do deep discovery of customer architecture frameworks, and ensure data is accessible, usable, and valuable to everyone.
Skills
Customer Needs Analysis
Sales Demonstrations
Proof of Concept
Database Technology
Data Warehouse
ETL
Analytics
Cloud Technologies
Presentation Skills
Technical Communication
Industry Knowledge
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees