Solutions Architect
Simon Data90,000 - 130,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 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 skills in data architecture, ETL, security, performance analysis, and analytics are essential, along with the ability to communicate effectively with both technical and executive audiences.
Responsibilities
The Solutions Architect will be responsible for providing technical expertise to ensure customer success with Snowflake. This includes deploying Snowflake following best practices, working hands-on with customers to demonstrate implementation best practices, and maintaining a deep understanding of competitive technologies. The role also involves collaborating with System Integrator consultants, providing guidance on resolving customer-specific technical challenges, and supporting the Professional Services team in developing their expertise.
Skills
Data Architecture
ETL
Security
Performance Analysis
Analytics
Snowflake
Customer Communication
Technical Consulting
Proof of Concept
Data Modeling
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