Senior Solutions Architect - Airflow (West Coast)

Posted 7 Hours Ago
Be an Early Applicant
6 Locations
In-Office or Remote
190K-250K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Software • Analytics • Infrastructure as a Service (IaaS) • Big Data Analytics
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life.
The Role
Senior technical lead for customer engagements, designing and deploying Airflow-based data orchestration platforms. Lead architecture reviews, build prototypes, diagnose and resolve production issues, and create reusable tools and reference architectures to support migrations, scalability, observability, and operational excellence.
Summary Generated by Built In

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 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.

About this role

As a Senior Solutions Architect on the Delivery Architecture team, you are the senior technical lead for customer engagements within Astronomer’s Services Delivery team.

You work in small teams with project managers and engineers, helping customers operationalize Airflow and Astro at scale.

You interact directly with engineers, architects, and executives to design their data orchestration platform on Astro. This role combines solution architecture with hands-on technical work, including building prototypes to validate designs.

What you get to do
  • Lead architecture reviews, workshops, and technical design sessions with engineering teams and executive stakeholders.

  • Design end-to-end platform architectures integrating Airflow with cloud infrastructure, compute frameworks, and data platforms.

  • Review delivery work to ensure high standards for scalability, observability, security, and operational excellence.

  • Diagnose and resolve issues, guide customers through deployments, migrations, and platform modernization.

  • Build reusable tools, frameworks, reference architectures, and best practices that improve delivery quality across the organization.

What you bring to the role
  • 8+ years of experience in data engineering, platform engineering, or solution architecture

  • Airflow expertise authoring and deploying Dags to production, monitoring execution, and troubleshooting failures.

  • Experience tuning Airflow performance, refactoring Dag code, right-sizing infrastructure, and implementing data quality checks and alerts.

  • Proven track record of guiding customers through platform deployments, migrations, or technical transformations, managing scope, timelines, and stakeholder conflicts.

  • Strong background in designing cloud native data platforms on AWS, Azure, or GCP, with familiarity in enterprise networking, security, and identity patterns.

  • Programming experience in Python and SQL.

  • Familiarity with CI/CD, Infrastructure as Code, Docker, and Kubernetes.

  • Experience with Databricks, Snowflake, dbt, BigQuery, or Redshift.

  • Track record leading architecture discussions and driving technical decisions with engineering leaders and executive stakeholders.

  • Strong communication and documentation skills; can translate business requirements into scalable, production-ready architectures.

Travel

Customer engagements are primarily remote. Occasional travel may be required for conferences and team on-sites.

Why you should apply

Airflow is the backbone of data infrastructure at the world’s largest organizations, and Astronomer is the company behind it. You’ll work on real, complex architecture problems with customers who are pushing the platform to its limits.

The estimated salary for this role ranges from $190,000 - $250,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.

#LI-Fulltime

#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.

Skills Required

  • 8+ years of experience in data engineering, platform engineering, or solution architecture
  • Expertise with Apache Airflow — authoring and deploying DAGs to production, monitoring execution, and troubleshooting failures
  • Experience tuning Airflow performance, refactoring DAG code, right-sizing infrastructure, and implementing data quality checks and alerts
  • Proven track record guiding customers through platform deployments, migrations, or technical transformations
  • Strong background designing cloud-native data platforms on AWS, Azure, or GCP with familiarity in enterprise networking, security, and identity patterns
  • Programming experience in Python and SQL
  • Familiarity with CI/CD, Infrastructure as Code, Docker, and Kubernetes
  • Experience with Databricks, Snowflake, dbt, BigQuery, or Redshift
  • Strong communication and documentation skills; able to translate business requirements into scalable, production-ready architectures
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The Company
HQ: New York, New York
344 Employees
Year Founded: 2018

What We Do

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 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io. Apache® and Apache Airflow® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.

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