Staff Software Engineer, Data
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should have extensive experience in technical support, particularly with RDBMS and cloud technologies. Familiarity with database release management and experience in a 24x7 support environment are essential. Strong analytical skills and the ability to handle technical case escalations are required, along with excellent communication skills for effective customer interaction.
Responsibilities
The Staff Cloud Support Engineer will drive technical solutions to complex problems for Snowflake customers and partners through various communication methods. They will adhere to response and resolution SLAs, investigate issues using the Snowflake environment and third-party tools, and document known solutions for the knowledge base. Additionally, they will report bugs and feature requests, proactively identify recommendations for product quality improvements, and provide support coverage during holidays and weekends as needed.
Skills
Operating Systems
Database Technologies
Big Data Technologies
Data Integration
Connectors
Networking
Incident Management
Case Escalations
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