Чётко описанная руководящая роль в крупной платформе данных с ответственностью за ключевые системы; при этом сочетание кодинга, операционных задач и работы через часовые пояса делает нагрузку высокой.
Engineering Manager (Data Processing): Leading and growing a backend engineering team responsible for OPAL-to-SQL compilation, query execution, distributed scheduling, warehouse autoscaling, and incremental view maintenance with an accent on reliability, cost efficiency, and petabyte-scale performance. Focus on balancing technical debt reduction with feature delivery, operating production services, and integrating Observe with Snowflake technologies.
Location: Zurich, Switzerland
Salary: CHF 204,000–293,250 per year
Company
Snowflake develops Observe, an AI-powered observability platform built on the Snowflake AI Data Cloud for processing logs, metrics, traces, and events at enterprise scale.
What you will do
Lead, mentor, and grow a backend engineering team working on compiler internals, distributed scheduling, query execution, and data materialization.
Hire engineers and represent Observe and Snowflake throughout the candidate process.
Plan and deliver product features with Observe product and backend teams while scaling existing systems.
Collaborate with Snowflake engineering teams in Germany and the US to integrate Observe with Snowflake technologies and improve the underlying platform.
Reduce technical debt, prioritize concurrent projects, and balance short-term operational needs with long-term architecture.
Own operational health, including performance, compute cost efficiency, on-call load, support cost, production incidents, customer escalations, postmortems, and production code.
Requirements
Proven experience managing a team of 5 or more engineers delivering complex backend or infrastructure systems in a fast-paced environment.
Background in database systems, including query processing, query optimization, storage, or compilers.
Solid experience building and operating distributed systems.
Hands-on engineering skills, including writing, reviewing, and fixing production code.
Ability to manage concurrent projects and prioritize clearly between them.
Ability to balance operational needs with long-term architecture and make data-driven cost and performance tradeoffs.
Experience running a team responsible for production services with on-call duties.
Excellent communication skills and comfort working across time zones and organizational boundaries.
Bachelor’s, master’s, or doctorate degree in computer science, engineering, or a related field.
Nice to have
Experience with Snowflake or other large-scale data platforms or databases, including knowledge of their internals.
Familiarity with the observability space.
Experience building an enterprise-grade SaaS product.
Culture & Benefits
Startup-style ownership and velocity combined with the reach and operational capabilities of Snowflake.
AI-native, experimental working approach focused on testing emerging capabilities.
Collaboration with engineering teams across Switzerland, Germany, and the US.
Full-time position with annual compensation of CHF 204,000–293,250.
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