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 strong background in data architecture, ETL, security, performance analysis, and analytics. Excellent communication skills are required to articulate business problems and solutions to both technical and executive audiences. A hands-on, self-starter attitude and experience in a fast-paced, agile environment are essential. Familiarity with competitive and complementary technologies is also important.
Responsibilities
As a Solutions Architect at Snowflake, you will serve as a technical expert on all aspects of Snowflake, present the technology and vision to customers, and act as a Trusted Advisor to key stakeholders. You will drive project teams towards common goals, demonstrate the value of Snowflake technology through various customer engagements, and create repeatable processes and documentation. Collaboration on industry-based solutions and deploying Snowflake while ensuring knowledge transfer to customers will also be key responsibilities.
Skills
Data Architecture
ETL
Security
Performance Analysis
Analytics
Communication
Presentation
Data Modeling
Cloud Technologies
Business Problem Solving
Technical Communication
Executive Communication
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