Engineering Manager, Database Platform

Build the future of data. Join the Snowflake team.

A massive new market opportunity is being created at the intersection of Cloud and Data, and the Snowflake Data Cloud is leading the way, all powered by the database engine we are building from the ground up.

Key to Snowflake’s Database Engine is our large scale distributed transactional Key-Value store - called FDB - which powers all of Snowflake’s products and services and is rapidly evolving to meet Snowflake’s future needs.

FDB is a cutting‑edge, highly scalable database capable of ACID transactions at high frequencies and low latencies. FDB has been a core component in Snowflake’s unique shared‑metadata architecture since 2014, making possible Snowflake’s vision to build the greatest data warehouse for the cloud.

FDB runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. The elastic infrastructure FDB runs on is being built from the ground up and is envisioned to be a cloud‑agnostic, fully automated manageability platform that provides:

• Autoscaling and auto‑balancing of clusters based on utilization, traffic and workloads
• Auto‑provisioning of new clusters with zero manual intervention
• Self‑healing capabilities that prevent, mitigate and resolve any production impact
• Built‑in configuration management that guarantees FDB runs correctly and on the intended topologies
• Self‑optimizing COGS efficiency, ensuring we run our clusters at optimal utilization

We are looking for an exceptional Engineering Manager to join and grow this high‑impact team.

• 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.

Our ideal candidate will have many of the following experiences and capabilities.

• 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, Open Shift, 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.

This is an excellent opportunity to:

• Lead and grow an exceptional team…