Data Engineering Consulting: Snowflake, dbt
Production data platforms on Snowflake, Databricks, dbt. Cost-first architecture.
Technologies: Snowflake, Databricks, dbt, Airflow, Dagster, Fivetran, Spark, Kafka, Terraform, and the AWS / Azure / GCP native data stack.
Platforms your team can run
We bias toward simple, operable systems — and we'll defend that bias in your architecture review.
Snowflake & Databricks platforms
Warehouse and lakehouse architectures designed around your access patterns — not a vendor reference diagram. Clustering, partitioning, and workload isolation tuned for your actual query mix.
dbt for modelling & tests
Source-controlled, tested, documented transformations. Semantic layer with metrics your BI team can trust. Exposures and freshness SLAs so broken dashboards are caught upstream.
Cost-first architecture
Every design choice comes with a monthly run-cost estimate. We benchmark alternatives against your data volume and show you the break-even. No surprise invoices at month-end.
Pipelines you can operate
Airflow, Dagster, or native orchestration with proper retries, backfills, and observability. Runbooks written for your oncall rotation, not our engineers.
Build a data platform your team can actually run
We'll audit your current stack, cost the next architecture honestly, and ship the first production workload — on Snowflake, Databricks, or whatever fits.