Senior Solutions Architect - Airflow (West Coast)

About the role

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®. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

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

Skills

• Airflow expertise authoring and deploying Dags to production, monitoring execution, and troubleshooting failures.
• Tuning Airflow performance, refactoring Dag code, right-sizing infrastructure, and implementing data quality checks and alerts.
• Guiding customers through platform deployments, migrations, or technical transformations, managing scope, timelines, and stakeholder conflicts.
• Programming experience in Python and SQL.
• Familiarity with CI/CD, Infrastructure as Code, Docker, and Kubernetes.
• Experience with Databricks, Snowflake, dbt, BigQuery, or Redshift.
• 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.

Benefits

• Comprehensive benefits package.
• Equity component.

Pay

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.

Schedule

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