dagster dbt airbyte kubernetes argo-workflow

From ArgoWF to Dagster: Designing SwapCard's Modern Data Orchestration Roadmap

The Challenge

SwapCard, the leading event-tech platform powering thousands of conferences worldwide, had outgrown its data orchestration stack. Orchestration was fragmented across ArgoWF, Airbyte, Fivetran, DBT, and Redshift — each with its own configuration, monitoring surface, and failure modes. The team lacked unified data lineage and was spending more time maintaining the platform than building on it.

Leadership saw Dagster as the answer: a modern, asset-based orchestrator that could unify the stack. But Dagster has a steep learning curve, and its foundational decisions — project structure, asset modelling, partitioning — are expensive to undo once a migration is underway. SwapCard didn't need enthusiasm. They needed a blueprint.

The Engagement

MetaOps ran a focused 2–3 week discovery phase, working alongside SwapCard's DevOps and Data Engineering teams. We inventoried every ArgoWF workflow, Airbyte and Fivetran connection, DBT model, and Redshift component, then mapped data flows end-to-end.

From there we designed a Dagster architecture tailored to SwapCard's specific stack — their pipelines, their software versions, their operational constraints. Crucially, we didn't stop at recommendations on paper. We carried out a test implementation, validating every step of the proposed design and migration approach against SwapCard's real configuration. Every architectural decision was pressure-tested before handover.

The Outcome

SwapCard received a verified, environment-specific blueprint for their Dagster migration:

  • Full current-state documentation and end-to-end lineage mapping

  • A target architecture covering project structure, asset definitions, job layouts, and partitioning — all validated through test implementation

  • A phased migration roadmap from ArgoWF to Dagster, protecting business continuity

  • Tested guidance on testing, monitoring, CI/CD, and operational practices

  • Optimisation recommendations for their self-hosted Dagster and Airbyte, plus a Fivetran consolidation review

The real value is in what didn't happen: SwapCard's team won't spend weeks discovering that a project structure won't scale or that a partitioning choice doesn't fit their data. Those mistakes were made — and corrected — before they could cost the team time.

Why It Matters

Dagster's learning curve is real, and the cost of foundational mistakes compounds quickly. By combining structured discovery with hands-on test implementation, MetaOps gave SwapCard a verified migration path, specific to their stack, that the team can execute with confidence.