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At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. You can’t spell “Data Orchestration” without “Data”, and we’re looking to add a world-class Staff+ level engineer to our team, to set out our Data and Database story as we level up our platform’s Reliability, cost profile and growth trajectory. You get to go in at the ground level of how our production infrastructure is designed, built, tested and deployed. Your work will directly influence how we build Astro, Observe and our IDE product, as well as how global organizations orchestrate data pipelines at scale—making them faster, more reliable, and easier to manage.
Job Responsibility:
Be a subject-matter expert in how we treat Data at scale
Recommend, design and later lead building the data systems that will help us continue to scale
Own and develop our Database and overall data strategy and practice
Be directly involved in decision-making on what we work on, as well as how we work on it
Make build vs. buy assessments, and advocate for the right tools for the right job when it comes to data
Create and maintain comprehensive internal documentation and decision records for systems and processes, ensuring clarity and accessibility
Participate in Architectural forums and discussion and make principled, open decisions
Requirements:
Hands-on experience designing, developing, and scaling production infrastructure
Extensive knowledge of Postgres and Postgres-like cloud offerings (AWS, GCP, Azure)
Extensive and recent experience with building low-level data systems and/or managed data platforms
In-depth knowledge and practical experience of the product and technology space in Database and related fields (Blob, NoSQL, Timeseries, Graph, Vector)
Experience defining requirements and making and justifying technology choices around the data space
Strong experience in Non-Abstract Systems design and implementation
Strong proficiency in Golang and in-depth experience with Kubernetes
Strong communication skills, both written and verbal, with experience in working with a globally distributed team in delivery
Nice to have:
Experience working with Spanner, AlloyDB and/or other cloud-native databases, including hands-on experience with provisioning, development practices and migration of data
Experience working on a SaaS/PaaS product across multiple cloud providers
Experience building internal data platforms from cloud-native component parts