Solutions Architect
Collaborative RoboticsFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need solution engineering or solution architect experience in a SaaS environment or relevant industry experience in analytics, data science, or data engineering, along with outstanding presentation skills to technical and executive audiences, understanding of data architecture, data analytics and cloud technology, and hands-on experience with SQL.
This information is not specified in the job description.
This information is not specified in the job description.
Snowflake has a culture focused on impact, innovation, and collaboration, empowering enterprises and people to achieve their full potential while building big, moving fast, and advancing technology and careers.
A strong candidate has solution engineering experience in SaaS or related fields like data engineering, excellent presentation skills for technical and executive audiences, knowledge of data architecture, analytics, cloud technology, and hands-on SQL experience, plus a passion for solving complex data challenges.
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.