Data Systems
A data platform leadership can trust.
End-to-end data systems: warehousing, pipelines, modeling, governance, and analytics.
What this engagement is.
SAZ data engagements build the data platform a modern business needs — warehouse, pipelines, modeling, governance, and reporting — so the analytics and AI investments downstream actually pay off.
What you should expect.
Outcome-led scoping — every engagement is measured against specific business outcomes.
- A unified, governed data warehouse
- Reliable pipelines and metric models
- A governance and quality practice
- Trusted reporting and analytics
What the team brings.
Warehouse
BigQuery, Snowflake, Redshift, Databricks.
Pipelines
Fivetran, Airbyte, custom — picked for the case.
Modeling
dbt, semantic layer, and metric definitions.
Governance
Quality, lineage, and access controls.
How an engagement runs.
Audit
Current state and target use cases.
Architect
Warehouse, pipelines, and governance design.
Build
Ship the platform in waves.
Questions buyers ask.
Data Systems across Canada.
SAZ delivers this engagement across our Canadian footprint — from Vancouver to Halifax.
Engagements that pair with this.
Analytics Systems
Build a single source of truth for product, marketing, and revenue analytics.
AI Infrastructure
Vector stores, retrieval, evals, observability, and platform engineering for AI systems.
Systems Architecture
Pragmatic architecture for systems that will need to evolve for years, not just ship for the launch.
Want to scope a Data Systems engagement?
A senior partner will respond within one business day.