Solutions Architect
Simon Data90,000 - 130,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
The ideal candidate will 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, along with excellent customer-facing skills.
Responsibilities
As a Solutions Architect at Snowflake, you will be a technical expert on all aspects of Snowflake and deploy it following best practices, ensuring knowledge transfer for customer enablement. You will work hands-on with customers to demonstrate implementation best practices, maintain a deep understanding of competitive technologies, and collaborate with System Integrator consultants to position and deploy Snowflake effectively. Additionally, you will provide guidance on resolving customer-specific technical challenges, support other Professional Services team members, and collaborate with Product Management, Engineering, and Marketing to enhance Snowflake’s products.
Skills
Data architecture
ETL
Security
Performance analysis
Analytics
Customer-facing communication
Demo creation
Proof-of-concepts
Consultative assistance
Architecture
Implementation
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