Full-Time

Engineering Manager

Database Platform

Posted on 10/26/2024

Snowflake

Snowflake

5,001-10,000 employees

Data management and analytics platform

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior

San Mateo, CA, USA

Category
Engineering Management
Software Development Management
Required Skills
Kubernetes
Microsoft Azure
OpenShift
SQL
Java
Operating Systems
AWS
C/C++
Data Analysis
Google Cloud Platform
Requirements
  • 10+ years industry experience designing, building and supporting large scale infrastructure in production.
  • 3+ years of experience in managing and leading teams to build large scale systems or databases.
  • Experience designing, building, and operating large-scale distributed systems supporting stateful services.
  • Experience in container orchestration, cluster management, and autoscaling.
  • Solid understanding of the internals of Kubernetes, Mesos, OpenShift, or other container platforms.
  • Excellent understanding of operating systems concepts including scheduling, IO subsystem, multi-threading, memory management, networking and storage, performance and scale.
  • Strong hands-on skills. Can drill deep into the complex system design and implementation when needed.
  • Strong track record of delivering large scale and resilient distributed systems and services.
  • Knowledge and experience in cloud environments, such as AWS, Azure, and GCP.
  • BS in Computer Science or related majors; Masters or PhD preferred.
  • Strong collaboration and communication skills.
  • Fluency in Java, C++, or C.
  • A track record of recruiting and leading technical teams in a demanding talent market.
  • Experience in SQL and data analysis is a big plus.
Responsibilities
  • Lead the team responsible for the health and growth of the FDB platform service at Snowflake.
  • Lead and participate in technical, design, and product discussions related to the scalable distributed system solutions for our cloud agnostic platform, which have a material impact on the product.
  • Ensure reliability, performance and scale of the services you own in production.
  • Develop the future leaders of Snowflake by providing continuous mentorship, coaching, and growth opportunities.
  • Translate product requirements into engineering work for your team, reaching out to others for assistance as needed.
  • Partner with other leaders in the Engineering and Product organizations on quarterly planning, staffing, and project schedules.
  • Know how and when to shift resources across areas to achieve execution goals and respond to lessons from production issues.
  • Use your strong foundation as a technical leader to reliably deliver on complex projects while keeping the quality bar high.
  • Grow the team by recruiting and hiring new team members and growing existing ones.
  • Foster a culture of creativity and innovation while also promoting practical decision-making.

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 and strategic insights, using a subscription-based model that charges clients based on their actual usage of storage and computing resources.

Company Stage

IPO

Total Funding

$1.3B

Headquarters

Bellevue, Washington

Founded

2012

Growth & Insights
Headcount

6 month growth

8%

1 year growth

17%

2 year growth

42%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Datavolo enhances Snowflake's rapid data integration capabilities.
  • Investment in Metaplane improves data reliability, optimizing AI applications.
  • Snowflake's strategic investment in Hex empowers non-technical users with no-code data tools.

What critics are saying

  • Integration challenges from Datavolo acquisition could disrupt operations.
  • Increased competition from Mistral AI may challenge Snowflake's market position.
  • Convertible senior notes pricing could increase financial pressure on Snowflake.

What makes Snowflake unique

  • Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.
  • The AI Data Cloud enables seamless data mobilization across multiple public clouds.
  • Snowflake's subscription model aligns costs with client usage, enhancing affordability.

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Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

INACTIVE