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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect - Airflow - **Company:** Astronomer, Inc. - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $190,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Apache HTTP Server, Microsoft Azure, BigQuery, Cloud Computing, Computer Programming, Continuous Delivery, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Data Validation, Information Engineering, Python (Programming Language), Network Security, Performance Tuning, SQL Databases, Scripting, Cloud Platform System, Snowflake, Kubernetes, Infrastructure Automation Frameworks, Data Management, Code Restructuring, Docker, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-solutions-architect-airflow-west-coast-san-diego-ca--509cceef-6d71-4ca4-ba40-2d04948c70de ## About 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., Amazon Web Services (AWS), Apache, Artificial Intelligence (AI), Best Practices, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Customer Support/Service, Data Quality, Docker, Documentation, Enterprise Protection, GCP (Good Clinical Practices), Identify Issues, Microsoft Windows Azure, Network Security, Performance Tuning/Optimization, Production Control, Project Engineering, Prototyping, Python Programming/Scripting Language, Quality Management, Refactoring, Resolve Customer Issues, Right-Sizing, SQL (Structured Query Language), Service Delivery, Team Player, Technical Leadership, Technical/Engineering Design ## Description 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Making Data Warehouses fast. 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