Senior Solutions Architect, Post-Sales (West Coast)
Monte Carlo DataSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should have experience in sales engineering or solutions architecture, with a strong understanding of data and analytics technologies. Excellent communication skills are essential for presenting to both technical and executive audiences. A self-starter attitude and the ability to work in a fast-paced, agile environment are required, along with a proven track record of delivering customer-focused solutions.
Responsibilities
The Sales Solutions Architect will present Snowflake technology and vision to customers, acting as a Trusted Advisor to key stakeholders. They will collaborate with Professional Services Practice Directors to scope proposals and work closely with sales teams on account strategy. Additionally, they will deliver technical workshops, assist with technical issues, and communicate customer feedback to inform service offerings. The role involves driving project teams towards common goals, demonstrating the value of Snowflake solutions, and creating repeatable processes based on customer engagement.
Skills
Snowflake
Data and Analytics
Communication
Presentation
Problem-Solving
Collaboration
Data
Analytics
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