Senior Manager, Data Engineering (Remote, United States)
The ZebraSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Consumer Software, Enterprise SoftwareIndustries
Requirements
The ideal candidate should possess 2+ years of software engineering management experience and 7+ years of industry experience designing and building distributed data systems, with strong foundations in computer science including data structures, algorithms, and distributed systems. Fluency in C++ and Python is required, along with excellent interpersonal communication and written/oral English language skills.
Responsibilities
As a Software Engineering Manager for Snowpark, you will lead and expand a distributed engineering team, drive product initiatives to make Snowpark and Snowflake more intuitive for developers, monitor and interpret changes in employment legislation across North America and develop HR policies to ensure compliance, conduct audits, deliver training, and advise management on HR-related risk mitigation strategies, and shape the future of this critical part of Snowflake by helping to evolve Snowflake into a fully fledged Data Platform.
Skills
C++
Python
Data Structures
Algorithms
Distributed Systems
Problem-Solving
Communication
Spark
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