About the job
At Astronomer, we empower data teams to transform crucial software, analytics, and AI into reality. We are the creators of Astro, the premier unified DataOps platform leveraging Apache Airflow®. Astro streamlines the creation of dependable data products that unveil insights, drive AI value, and facilitate data-driven applications. Trusted by over 800 leading enterprises globally, Astronomer enables organizations to maximize their data capabilities. Discover more at www.astronomer.io.
About This Role:
At Astronomer, we are redefining the management of Apache Airflow at scale. Our R&D organization is composed of some of the brightest minds in cloud infrastructure and open-source software.
We are seeking a top-tier Staff+ level engineer to join our team and shape our Data and Database strategy as we enhance our platform's reliability, cost-effectiveness, and growth trajectory.
You will play a pivotal role in designing, building, testing, and deploying our production infrastructure. Your contributions will directly impact the development of Astro, Observe, and our IDE product, as well as how global organizations orchestrate scalable data pipelines, making them faster, more reliable, and easier to manage.
Your Key Responsibilities:
Become a subject-matter expert in data management at scale. Astronomer's platform utilizes various databases and data sources, and as our needs evolve, we require a database and data platforms expert to oversee our data storage, retrieval, security, and curation processes.
Our technology stack is primarily Postgres-based, supplemented with blob storage and specialized options for specific data types. You will advise, design, and lead the development of the data systems necessary for our continued growth. This technical role requires active participation in building these systems and ensuring their suitability.
You will be at the forefront of collaboration within our Platform Engineering team and the broader R&D group.
Blaze a Trail: Take ownership of our database and comprehensive data strategy, with the authority and responsibility to match, this role reports directly to the VP of Reliability.
Be an Owner: Participate actively in decision-making processes regarding our data architecture.
