Data Platforms & Warehousing
Lakehouses and warehouses on Databricks and Snowflake that scale with you
Services › Data Engineering › Data Platforms & Warehousing
A data platform is the foundation for every report, model and AI feature. When it is well built, new questions are answered in days. When it is not, every request becomes a project. We design and build lakehouse and warehouse platforms using medallion architecture, so raw data is captured once, cleaned once and served consistently.
Our engineers work daily with PySpark, Delta Lake, Databricks, Snowflake and dbt, with multi-workspace deployment through Databricks Asset Bundles and CI/CD. We have built platforms for banking, telecom, private equity and insurance clients.
What we do
- Platform architecture on Databricks, Snowflake, AWS, Azure or Google Cloud
- Bronze, silver and gold layers with clear ownership and contracts
- Batch and streaming pipelines in PySpark and dbt
- Data quality checks, lineage and alerting
- CI/CD, environment management and cost monitoring
This is for you if
- Reports disagree with each other because each team builds its own extracts
- Pipelines break silently and someone finds out from a customer
- You are planning AI and the data is not ready
- Cloud data costs are growing faster than usage
How we work
- 1
Architect
Agree the platform, layers, standards and security model.
- 2
Build the core
Ingest priority sources and build the first gold datasets.
- 3
Harden
Add quality checks, lineage, CI/CD and monitoring.
- 4
Scale
Onboard more sources and teams with the same standards.
Technologies we use
- Databricks
- Snowflake
- PySpark
- Delta Lake
- dbt
- AWS Glue
- Azure Data Factory
- Terraform
- Unity Catalog
Common questions
Databricks or Snowflake?
Both are excellent. The choice depends on your workloads, skills and existing cloud. We work on both and will recommend based on your case.
How do you control cost?
Right-sized compute, auto-termination, partitioning and a monthly cost review.
Can you take over an existing platform?
Yes. We start with a health check and fix the highest-risk items first.
Ready to talk about Data Platforms & Warehousing?
Call us or send a message and we will come back within one working day.
