Related skills
azure docker aws sql python📋 Description
- Lead architecture reviews and design sessions with engineers and execs.
- Design end-to-end Airflow architectures with cloud infra and data platforms.
- Review delivery work for scalability, observability, security, and ops excellence.
- Diagnose issues and guide customers through deployments and migrations.
- Build reusable tools, reference architectures, and best practices.
- Travel: remote engagements; occasional travel may be required.
🎯 Requirements
- 8+ years of experience in data engineering, platform engineering, or solution architecture.
- Airflow expertise: authoring and deploying DAGs to production.
- Airflow performance tuning, DAG refactoring, right-sizing infra, data quality checks.
- Guided customer deployments, migrations, and transformations with scope/timeline management.
- Cloud-native data platforms on AWS, Azure, or GCP; security patterns.
- Python and SQL programming.
- Familiarity with CI/CD, Infrastructure as Code, Docker, and Kubernetes.
- Experience with Databricks, Snowflake, dbt, BigQuery, or Redshift.
- Led architecture discussions with engineering leaders and execs.
- Strong communication and documentation to translate business needs into scalable architectures.
🎁 Benefits
- Equity component.
- Comprehensive benefits package.
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