# Senior Solutions Architect - Airflow

**Company:** [Astronomer](https://hotfix.jobs/companies/astronomer)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $190k – $250k/yr
**Experience:** 8+ years
**Skills:** Airflow, Python, SQL, AWS, Azure, GCP, Docker, Kubernetes, CI/CD, Infrastructure As Code, Databricks, Snowflake, dbt, BigQuery, Redshift
**Posted:** 2026-06-26

> Senior technical lead designing and deploying Airflow-based data orchestration platforms on Astro. Guides enterprise customers through complex deployments, migrations, and architecture decisions.

## Job Description

## 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.

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