Data Platform Engineer

Data Platform & Pipeline Ownership:

• Own our data ingestion layer end-to-end.
• Manage dbt models, tests, documentation, and the semantic layer.
• Own Dagster orchestration: scheduling, retries, alerting, and failure handling across all pipeline runs.

Data Observability & Quality:

• Build monitoring, failure alerting, and anomaly detection into the stack so issues surface proactively.
• Chase data through systems when things go wrong.
• Establish and document data quality standards and lineage practices across the warehouse.

Engineering Support & Integrations:

• Partner with our Technology and Engineering Lead on platform infrastructure, system integrations, and technical initiatives where data is a core component.
• Build and maintain reverse ETL pipelines to push warehouse data back into operational tools.
• Support real-time event pipeline development as new data sources and product surfaces come online.