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
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should possess a strong background in data architecture, ETL processes, security, performance analysis, and analytics. Excellent customer-facing skills and the ability to communicate complex technical concepts to both technical and executive audiences are essential. A passion for innovative technology and the ability to adapt to a dynamic environment are also required.
Responsibilities
The SE Manager will present Snowflake technology and vision to executives and technical contributors, work hands-on with customers to demonstrate the value of Snowflake throughout the sales cycle, maintain a deep understanding of competitive technologies, collaborate with Product Management and Engineering, recruit and hire new sales engineers, and help develop SEs through training and interaction with leadership.
Skills
Data architecture
ETL
Security
Performance analysis
Analytics
Customer-facing communication
Presentation
Technical communication
Demo creation
Proof of Concept
Consulting
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