Senior Solutions Architect, Financial Services
NVIDIAFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
This is a full-time position.
This information is not specified in the job description.
Required skills include solution engineering or solution architect experience in a SaaS environment or relevant industry experience, outstanding presentation skills to technical and executive audiences, understanding of data architecture, data analytics and cloud technology, hands-on experience with SQL, and customer-facing skills.
The culture emphasizes collaboration with sales engineers, product management, engineering, marketing, and partners, continuous learning from wins and losses, and working closely to improve products and help customers succeed.
Strong candidates have solution engineering experience in SaaS or relevant fields like analytics and data engineering, excellent presentation skills for diverse audiences, hands-on SQL and cloud technology experience, and the ability to solve business problems with Snowflake solutions.
Data management and analytics platform
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.