🇨🇦 Serving Canada

Data Infrastructure That Drives Canadian Decisions

Snowflake, BigQuery, dbt and BI stacks engineered to consolidate Canadian data, automate reporting, and surface metrics your CEO trusts.

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Canadian companies are drowning in dashboards and starving for trusted data. Every SaaS platform has its own analytics. Bilingual operations have data fragmented across English and French systems. PIPEDA and Quebec Law 25 expect documented data flows that most analytics stacks were never designed for. Meanwhile your CFO can't get a clean cash position by Friday close.

Buraq builds Canadian modern data stacks that consolidate fragmented sources into a trusted warehouse, model the data with dbt, surface it through BI tools your team already uses, and govern it for Canadian regulatory expectations. Output is a data function that supports growth instead of slowing it down.

Market Challenges

What teams in Canada are up against

Multiple departments reporting different numbers for the same KPI.

Bilingual operations producing parallel reports that disagree.

Manual Excel exports consuming hours of analyst time every week.

Data engineering bottleneck — every new dashboard requires an engineer.

PIPEDA and Law 25 data subject requests requiring weeks of manual work.

Industries

Where we deliver across Canada

Canadian B2B SaaS measuring product analytics and revenue ops
E-commerce and DTC needing unified attribution
Federally regulated financial services with auditable data flows
Healthcare with provincial privacy-aware analytics requirements
Cleantech, resource sector with operational analytics needs
Public sector adjacent and federal contracting
Compliance & Standards

Built for Canada regulatory requirements

PIPEDA-aligned analytics architecture: data minimization, retention, deletion workflows.

Quebec Law 25 data subject request workflows extended into analytics tooling.

OSFI-aligned auditable data flows for federally regulated financial services.

ASPE and IFRS-aligned financial data flows for SOX-relevant pre-IPO and public companies.

Why Buraq

Outcomes for Canada teams

One source of truth

Warehouse consolidation, semantic layer and governed metrics so the same KPI returns the same number across every team and tool.

Bilingual reporting under one roof

English and French reporting from the same warehouse with localized labels, formatting and BI delivery.

Canadian data residency

Snowflake or BigQuery deployed in Canadian regions for clients requiring Canadian residency.

Self-service that doesn't break trust

dbt models and governed semantic layer so business users explore data without inventing new definitions of every metric.

Built for the Canadian modern data stack reality

The Canadian modern data stack has consolidated around the same patterns as the U.S. — Snowflake or BigQuery, Fivetran or Airbyte, dbt, semantic layer, BI tooling — with the added constraint that Canadian customers increasingly require Canadian-region data residency. We pick the right components for your scale, team and regulatory posture.

Where pre-built connectors don't exist, we build custom ingestion. Where dbt models need optimization, we refactor for cost and performance. Where dashboards proliferate without governance, we consolidate around a semantic layer.

Aligned to Canadian regulatory expectations

PIPEDA and Quebec Law 25 expect specific things from data architectures: documented data flows, data minimization, defensible retention, and the ability to satisfy data subject requests for access and deletion. Most analytics stacks were never designed for these requirements and treat them as ad-hoc projects every time they come up.

We design Canadian data infrastructure with these obligations as first-class concerns. Data subject request workflows automated. Retention rules enforced. Audit trails on data transformations. Output is an analytics function that satisfies your privacy officer as easily as it satisfies your CFO.

Tech Stack

Technologies we deploy in Canada

SnowflakeBigQueryRedshiftdbtApache AirflowPower BITableauPythonSQLLookerMetabase
FAQ

Canada questions, answered

Have a question not listed here? Contact our Canada team and we'll get back to you.

Can you keep our data warehouse in Canadian regions?
Yes. Snowflake supports Canadian regions; BigQuery has Montreal and Toronto regions; AWS-hosted warehouses can run in Canada Central. We deploy per your residency requirements.
How long does a typical warehouse consolidation take?
Phase one (warehouse stand-up, primary source ingestion, initial dbt models, governed metrics for top 10 KPIs) typically takes 8–12 weeks. Full consolidation across dozens of sources runs 4–6 months.
Can you handle PIPEDA and Law 25 data subject requests at the warehouse layer?
Yes. We design schemas with PII tagging, build deletion workflows that propagate through the warehouse, and document data flows so requests can be satisfied within statutory deadlines.
Are your services billable in CAD?
Yes. All Canadian data engagements are invoiced in CAD with appropriate HST/GST handling per your jurisdiction.
Available Worldwide

Data Analytics & Business Intelligence in other markets

Stop running parallel English and French reports that disagree

Book a 45-minute data strategy call. We'll review your current stack and reporting workflows and return a written modernization plan within one week.

Serving Canada · CAD