Senior Solutions Architect – Airflow

Astronomer

Senior Solutions Architect leading Airflow implementations for customers at Astronomer. Collaborating with engineering teams to design data orchestration platforms and ensure operational excellence.

Posted 7/14/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $190,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud-native data platforms, with a strong focus on Airflow integration, performance tuning, and operational excellence. Proven ability to lead architecture discussions and guide customers through complex platform deployments and migrations.

Highest-signal resume keywords

Airflow ExpertiseCloud Native Data Platform DesignPython ProgrammingStakeholder ManagementCI/CD Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPlatform EngineeringSolution ArchitectureSQL ProgrammingPerformance TuningInfrastructure as CodeData Quality ChecksMonitoring ExecutionTroubleshooting FailuresRefactoring Dag Code

Soft Skills

Strong Communication SkillsDocumentation Skills

Tools & Technologies

AWSAzureGCPDockerKubernetesDatabricksSnowflakeDbtBigQueryRedshift

Industry Keywords

Architecture ReviewsTechnical Design SessionsOperational ExcellenceEnterprise NetworkingSecurity Patterns

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Comprehensive benefits package
Equity component