Data Systems Architect

4 days ago


Seattle, Washington, United States MotherDuck Full time
About MotherDuck
At MotherDuck, we're transforming the way people interact with and understand their data. Our mission is to empower and delight data practitioners by building a richer, more scalable, and collaborative experience atop the DuckDB open-source project. We've launched a minimally-viable product and need your help to build key pieces of our infrastructure and scale our operational maturity.

We're a diverse mix of passionate, collaborative, and empathetic data industry veterans from Google, Amazon, Meta, Snowflake, SingleStore, Databricks, and more. Geographically distributed across 4 engineering hubs in the US and Europe, we're a team that thrives on partnership and collaboration.

As a Software Engineer on our Platforms team, you'll design and optimize the runtime that manages our fleet of little DuckDBs running customer queries. Challenges include dynamic resource allocation, custom storage formats, state management, and observability. You'll partner with internal teams and customers to weave together a coherent system that's reliable, efficient, secure, and observable.

We're looking for someone who knows what it takes to build a distributed system but can also launch and iterate quickly. You'll thrive through the full lifecycle of a feature, from clarifying product requirements and key metrics to carrying the pager and investing in making it squawk less.

Key Responsibilities
  • Design and build server-side infrastructure for MotherDuck.
  • Write clean, well-documented code that follows established coding standards and best practices.
  • Monitor and troubleshoot production issues, working to resolve them in a timely manner.
  • Embrace feedback, empower teammates, and invest in the team's success.
  • Go beyond the job description to ensure an extraordinary product for our users.


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