Data Platform Engineer (Contract)

Data Platform & Pipeline Ownership:

• Own our data ingestion layer end-to-end, including completing our migration to open-source ingestion tooling (dlt) and maintaining reliability as the stack evolves.
• Manage dbt models, tests, documentation, and the semantic layer - the definitions that determine what every metric means across the business.
• 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: trace why records drop or transform unexpectedly between source and dashboard, and resolve the root cause rather than the symptom.
• Establish and document data quality standards and lineage practices across the warehouse.

Engineering Support & Integrations:

• Partner with the Director of Strategy & Analytics — and the Technology Lead once that role is filled — 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.
• Contribute to A/B testing infrastructure and the systems that support consistent metric definitions across the org.

DevOps & Platform Governance:

• Own separation of dev and production environments: deployment pipelines, change management, access controls, and release practices.
• Maintain infrastructure documentation and ensure the platform is operable beyond any single person.