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Director of Engineering, Observability

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.

About this role:

At Astronomer, our R&D organization is dedicated to providing an exceptional experience in operating data orchestration based on Apache Airflow at many of the world’s largest companies. As we continue to grow, we are looking to solve highly complicated technology problems through inventive algorithms and world-class practices around scale.

We are building out a world-class Observability team to deliver data observability capabilities that provide our customers visibility, reliability, and actionable insights into their data pipelines and products across some of the world’s largest enterprises.

We are seeking an experienced Director of Engineering to lead this effort. In this role, you will own the technical vision and execution of Astronomer’s observability platform, scale a high-performing engineering team, and partner closely with product and cross-functional stakeholders. Your leadership will directly influence our growth and our ability to deliver exceptional value to customers.

What you get to do:

  • Define and drive the technical strategy, roadmap, and execution for Astronomer’s observability platform.

  • Lead, grow, and mentor a team of engineers with a focus on collaboration, innovation, and customer impact.

  • Partner with product, design, and other engineering leaders to shape the future of observability and governance within Astronomer’s platform.

  • Ensure the architecture, design, and implementation of the observability platform are scalable, reliable, and performant.

  • Foster a culture of engineering excellence, including strong practices around code quality, testing, CI/CD, and operational rigor.

  • Represent the Observability team internally and externally, helping align stakeholders around shared goals.

What you bring to the role:

  • Proven experience leading engineering teams and managers in a fast-paced, high-growth environment.

  • A track record of delivering complex distributed systems and scaling production infrastructure.

  • Strong technical background, ideally with experience in Golang, Python, Kubernetes, SQL/OLAP databases, and stream processing.

  • Excellent communication and collaboration skills, with the ability to influence at all levels of the organization.

  • A strong focus on customer value, bringing clarity and alignment between technical priorities and business outcomes.

  • Passion for building healthy, inclusive teams and fostering growth in engineers.

Bonus Points If You Have:

  • Experience building or scaling data observability products.

  • Familiarity with Apache Airflow or similar workflow orchestrators.

  • Background in observability, monitoring, or infrastructure at scale (e.g., Datadog, Honeycomb, or similar).

The estimated total compensation for this role ranges from $260,000 - $300,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.

#LI-Remote

At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  Astronomer is a remote-first company.

Average salary estimate

$280000 / YEARLY (est.)
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$260000K
$300000K

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Astronomer is a platform for data engineering. The company was founded in 2015 and is based in Cincinnati, Ohio.

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Full-time, remote
DATE POSTED
October 3, 2025
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