Engineering Manager
Forward FinancingSalary 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 Software, Data & AnalyticsIndustries
Requirements
Candidates should have a strong background in software engineering, with experience in designing and implementing scalable distributed systems. Proven leadership skills and the ability to mentor and develop team members are essential. A solid understanding of fault-tolerance, high availability, and performance issues is required, along with experience in collaborating with cross-functional teams.
Responsibilities
The Engineering Manager will lead a team of engineers to solve business needs at scale, design scalable distributed systems, and analyze performance challenges. They will ensure operational readiness of services, translate product requirements into engineering tasks, and collaborate with other leaders on planning and project schedules. Additionally, they will focus on recruiting new team members and providing mentorship to develop future leaders within Snowflake.
Skills
Software Engineering
Distributed Systems
Scalable Systems
Fault-Tolerance
High Availability
Performance Analysis
Problem-Solving
Collaboration
Leadership
Mentorship
Recruiting
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