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
Position Overview
- Location Type: Remote
- Employment Type: Full-Time
- Salary: (Salary not provided in the text)
Join the Snowflake team and help build the future of the AI Data Cloud! Snowflake Support is dedicated to providing high-quality resolutions and supporting customers’ success. We form partnerships by listening, learning, and building connections, guided by Snowflake’s core values: putting customers first, acting with integrity, owning initiative and accountability, and getting it done.
Requirements
- Experience working with a variety of operating systems.
- Experience with database technologies.
- Experience with big data technologies.
- Experience with data integration and connectors.
- Experience with networking.
- Experience in a 24x7 environment.
- Experience handling technical case escalations and incident management.
- Experience in technical support for an RDBMS.
- Familiarity with database release management.
- Experience being on-call during weekends.
Responsibilities
- Provide technical guidance and expert advice to Snowflake customers regarding the effective and optimal use of Snowflake Data Warehouse.
- Act as the voice of the customer into Snowflake’s product and engineering teams for product feedback and improvements.
- Develop a strong understanding of customer use cases and how they leverage the Snowflake platform.
- Deliver exceptional service, enabling customers to achieve high levels of continuity and performance from their Snowflake implementation.
- Drive technical solutions to complex problems, providing in-depth analysis and guidance to Snowflake customers and partners.
- Utilize various communication methods (email, web, and phone) to deliver solutions.
- Adhere to response and resolution SLAs and escalation processes.
- Document known solutions in the internal and external knowledge base.
- Report well-documented bugs and feature requests.
- Proactively identify recommendations and lead global initiatives to improve product quality and customer experience.
- Provide support coverage during holidays and weekends based on business needs.
Company Information
- Company: Snowflake
- Department: Support
- Focus: Building the future of the AI Data Cloud and supporting customers’ success.
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.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees