Solutions Architect
Simon Data90,000 - 130,000 USD/year
- 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, Enterprise Software, Data & AnalyticsIndustries
Requirements
Candidates should have a minimum of 10 years of experience working with customers in a pre-sales or post-sales technical role. A university degree in computer science, engineering, mathematics, or a related field is required. Strong knowledge of data architecture, ETL, security, performance analysis, and analytics is essential.
Responsibilities
The Solutions Architect will be a technical expert on all aspects of Snowflake and will deploy Snowflake following best practices. They will work hands-on with customers to demonstrate and communicate implementation best practices, maintain a deep understanding of competitive technologies, and provide guidance on resolving customer-specific technical challenges. Additionally, they will support other members of the Professional Services team and collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products.
Skills
Data Architecture
ETL
Security
Performance Analysis
Analytics
Customer Communication
Technical Consulting
Snowflake Deployment
Data Modeling
System Integrator
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