Responsibilities
- Design and manage dbt models across the full data pipeline, from raw ingestion to unified domain modeling and production-ready feature sets.
- Integrate new third-party data sources—such as credit bureaus, alternative data providers, and identity platforms—into the data infrastructure.
- Ensure alignment between model training and serving environments by detecting feature drift and data inconsistencies early.
- Maintain high standards of data observability, including monitoring freshness, completeness, lineage, and cross-system reconciliation.
- Collaborate with data scientists and machine learning engineers to transition experimental features into production-grade code.
- Enhance internal tooling, coding standards, and documentation to improve team efficiency and reduce errors in feature deployment.
Work Arrangement
Hybrid
Other
- B1 or higher English proficiency required for clear communication within a global team.
- Relocation assistance available to designated hubs, including support for employee and family.
- Option to work remotely or from one of the company offices.
- Comprehensive healthcare coverage provided.
- Annual education budget for language courses, technical training, and professional certifications.
- Wellness stipend for mental health services and fitness-related activities.
- Generous time-off policy including 20 days of paid annual leave and sick leave.
