- Develop complex and efficient data pipelines to transform raw data sources into reliable, well-tested components of our data models.
- Design, build, and maintain data pipelines that deliver accurate, trusted data with the freshness our stakeholders depend on.
- Make data modeling decisions within our Data Vault 2.0 warehouse that balance raw fidelity in the vault with the consumption patterns of downstream marts and analytics.
- Administer and optimize Snowflake across warehouse sizing, query performance, access controls, RBAC and user/role management, and ongoing cost tuning.
- Build and maintain resilient Airflow DAGs and CI/CD pipelines that make deployments predictable, repeatable, and safe to roll back.
- Implement automated testing (unit, integration, and data quality) so issues are caught in CI before they reach production.
- Own production observability through our internal tooling, tuning alerts, responding to incidents, and closing the loop from production issues back into pre-load validation and CI checks.
- Leverage AI-powered tools as a core part of your development workflow to accelerate code generation, automate documentation, and improve code quality.
- Lead technical projects end-to-end, scoping with stakeholders, documenting requirements, and explaining technical trade-offs.
- Drive best practices for data governance, privacy, and security, including the change management and validation discipline required for SOX-relevant reporting.
PythonSQLSnowflake+3 more