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AstronomerAstronomerNew York, NY

Senior Solutions Architect - Airflow

Leads customer architecture engagements for deploying and scaling Airflow and Astro, designing cloud-native data platforms and guiding migrations, troubleshooting, and technical decisions. Requires 8+ years in data, platform engineering, or solution architecture plus strong Python, SQL, cloud, and stakeholder leadership experience.

190k – 250k/yr
Remote8+ YOESolutions Architecture

About the role

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 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 to improve delivery quality.

Requirements

  • 8+ years of experience in data engineering, platform engineering, or solution architecture.
  • Expertise authoring and deploying Airflow 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.
  • Experience guiding customers through platform deployments, migrations, or technical transformations, including managing scope, timelines, and stakeholder conflicts.
  • Strong background designing cloud-native data platforms on AWS, Azure, or Google Cloud, with familiarity with enterprise networking, security, and identity patterns.
  • Programming experience with 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, with the ability to translate business requirements into scalable, production-ready architectures.

Compensation and Benefits

  • Estimated salary range: $190,000–$250,000, based on leveling and geography.
  • Equity component and comprehensive benefits package.
  • Customer engagements are primarily remote; occasional travel may be required for conferences and team on-sites.

Skills

apache airflowPythonSQLAWSAzureGCPCI/CDInfrastructure As CodeDockerKubernetesDatabricksSnowflakedbtBigQueryamazon redshift

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