About this role

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 or platform architecture in production environments.
Strong Python and SQL skills.
Deep experience designing and operating Apache Airflow in large-scale production deployments.
Experience designing cloud-native data architectures on AWS, Azure, or GCP.
Familiarity with enterprise cloud networking and security patterns.
Experience leading technical engagements and working with executive stakeholders.
Familiarity with CI/CD, infrastructure as code, Docker, and Kubernetes.
Strong communication, documentation, and mentoring skills.
Experience with Databricks, Snowflake, dbt, BigQuery, or Redshift.

Senior Solutions Architect

Key skills