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.

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.

Senior Solutions Architect – Airflow

Key skills