Build
Data Architecture & Engineering
Modern data platforms that turn raw, scattered data into trusted, governed, and analytics-ready assets — from warehouse design to real-time streaming.
Bad data architecture is invisible — until it blocks every decision.
Siloed databases, fragile ETL scripts, undocumented transformations, and conflicting metrics. When the CEO asks a simple question and three teams give three different answers, the problem isn't people — it's architecture. CBM designs data platforms where every number has one source of truth, every pipeline is tested, and every dataset is governed.
73%
of enterprise data goes unused due to poor architecture
4×
faster reporting with a well-designed analytical layer
90%
reduction in data incidents with automated quality checks
What We Deliver
End-to-end data platform engineering
From source ingestion to self-service analytics — we design, build, and govern data platforms that scale with your business.
Data Warehouse & Lakehouse
Snowflake, BigQuery, Databricks, or Redshift — we design and build modern analytical platforms that unify structured and unstructured data.
ETL / ELT Pipelines
Reliable, idempotent data pipelines with dbt, Airflow, Spark, or cloud-native services. Batch, micro-batch, or real-time — matched to your SLAs.
Data Mesh Architecture
Domain-oriented, decentralised data ownership with federated governance. Each team owns their data products — with standards that keep quality high.
Data Governance & Quality
Data catalogues, lineage tracking, quality checks, and access policies. Know where your data comes from, who changed it, and whether you can trust it.
Real-Time Streaming
Kafka, Kinesis, Flink, or Pub/Sub — event-driven architectures that deliver data in milliseconds for operational analytics and live dashboards.
BI & Analytics Enablement
Semantic layers, curated datasets, and self-service analytics. We make data accessible to every team — not just the engineers who built the pipeline.
How We Work
From audit to analytics-ready in weeks
Data Landscape Audit
We map every source, sink, and transformation. Identify silos, quality gaps, duplication, and governance blind spots across your entire data estate.
Architecture Blueprint
Target-state design covering storage, compute, ingestion, transformation, serving, and governance layers — aligned to your business priorities and budget.
Incremental Build
We deliver domain by domain. Each sprint produces working pipelines, tested transformations, and documented data products — not just diagrams.
Govern & Scale
Data catalogues, quality monitors, lineage graphs, and access controls go live alongside the platform. Your data stays trustworthy as it grows.
Technology
Platform-agnostic. Data-driven.
We choose the right tools for your data volumes, latency requirements, and team capabilities — not vendor lock-in.
Warehouses
- Snowflake
- BigQuery
- Redshift
- Synapse
Lakehouse
- Databricks
- Delta Lake
- Apache Iceberg
- Hudi
Orchestration
- Airflow
- Dagster
- Prefect
- Step Functions
Transform
- dbt
- Spark
- Flink
- Dataflow
Streaming
- Kafka
- Kinesis
- Pub/Sub
- EventBridge
Governance
- Atlan
- DataHub
- Unity Catalog
- Great Expectations
Ready to trust your data?
Tell us about your data landscape. We'll audit what you have, design the target state, and give you a phased roadmap — no obligations.