Senior Manager, Data Engineering (Remote, United States)
The ZebraSalary 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
Enterprise Software, Government & Public SectorIndustries
Requirements
Candidates should have a strong background in data architecture, ETL, security, performance analysis, and analytics. Excellent customer-facing skills and the ability to communicate technical concepts to both technical and executive audiences are essential. A proven track record of working collaboratively across departments is required, along with experience in recruiting and developing sales engineers.
Responsibilities
The SE Manager will present Snowflake technology to executives and technical contributors, work hands-on with customers throughout the sales cycle, maintain a deep understanding of competitive technologies, collaborate with Product Management and Engineering, recruit and develop new sales engineers, and help evangelize Snowflake within the new market.
Skills
Data architecture
ETL
Security
Performance analysis
Analytics
Communication
Presentation
Business problem solving
Snowflake
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