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Snowflake, Built to Scale.

We turn scattered data into a governed Snowflake platform—clean schemas, reliable pipelines, and BI-ready models that make decisions faster and keep costs under control.

Learn how Ironhide designs your warehouse, automates ELT, and connects Snowflake to Power BI/Tableau/Airtable without breaking day-to-day ops.

Where Snowflake fits (single source of truth)

  • Central warehouse: finance, ops, product, and marketing in one governed place.
  • Share & collaborate: secure data sharing with vendors/clients without file swaps.
  • BI layer: semantic models for Power BI/Tableau that keep KPIs consistent.
  • Ops hub: feed curated outputs back to tools like Airtable, HubSpot, and apps.

Common pitfalls we fix

  • Sprawl of raw schemas, no naming rules, and inconsistent time zones.
  • ELT pipelines that fail silently—no alerts, no lineage, no tests.
  • Warehouse cost creep from oversized/always-on compute.
  • Dashboards that disagree because business logic lives in ten places.

Snowflake services we deliver

Architecture & Governance
  • Environment strategy (dev/test/prod), databases, schemas, and naming.
  • Roles, grants, and row-level security; key/secret management.
  • Resource monitors, warehouse sizing, auto-suspend/auto-resume.
  • Zero-copy cloning, Time Travel, and data retention policies.
ELT Pipelines (dbt + native)
  • dbt models with tests, documentation, and CI checks.
  • Streams & Tasks for incremental loads and change capture.
  • Ingestion via Snowpipe/Stage or Fivetran/Matillion/Hevo—your stack.
  • Alerting to Slack/Teams when loads fail or data drifts.
Semantic & KPI Layer
  • Conformed dimensions and star/snowflake models for BI.
  • Reusable KPI definitions (revenue, LTV, CAC, pipeline health).
  • Performance tuning: clustering keys, pruning, cache strategy.
  • Certified views for Power BI/Tableau—one version of truth.
Operational Outputs & Reverse ETL
  • Push curated tables back to Airtable/CRMs/support tools.
  • Scheduled exports & APIs for partners and portals.
  • Threshold alerts & subscriptions for frontline teams.
  • Data sharing to vendors without flat files or shadow copies.
Cost & Reliability Guardrails
  • Right-size warehouses; isolate heavy jobs on separate compute.
  • Usage dashboards, quotas, and anomaly alerts.
  • Backup/restore strategy leveraging Time Travel & Fail-safe.
  • Runbooks + Loom handoffs for admins and analysts.

How we work (fast)

  1. Discover — audit schemas, pipelines, spend, and BI needs.
  2. Design — warehouse plan, ELT, and KPI contracts.
  3. Build — dbt models, Streams/Tasks, tests, and alerts.
  4. Validate — performance, security, and UAT with stakeholders.
  5. Enable — dashboards, runbooks, and ownership cadence.

Typical outcomes

30–50%

reduction in compute spend

2–4×

faster model refresh & queries

1

semantic layer all teams trust

↑ uptime

with monitored, test-backed pipelines

Proof it works

“Ironhide rebuilt our Snowflake with dbt, added alerts and cost guards, and our BI finally matches finance.”

— VP Data, B2B Services (case study coming soon)