Service
Cloud Data Platforms
We help you land on Snowflake and AWS as an operating platform: warehouse layout, roles, data paths, and a migration you can run in parallel — not a weekend cutover.
The work
How we help
A cloud warehouse that was stood up for a demo is not a platform. Roles are shared, compute is a single warehouse, S3 paths are tribal knowledge, and the bill does not match the grain of the work. We design and operationalize Snowflake and AWS so security, finance, and engineering can all use the same estate.
Migrations include a parallel run. Cost and performance are engineering outcomes, not a product pitch.
When this is the engagement
You are landing on Snowflake or AWS, migrating off legacy, or paying for compute that does not match the work.
Contracted and invoiced by Havilah Technologies LLC. Delivery in your warehouse and your git.
- 01Design Snowflake accounts, databases, schemas, warehouses, and roles that match how teams actually work.
- 02Build AWS data paths — S3, Glue, Lambda, IAM — that security will approve, including GovCloud-aware delivery where required.
- 03Plan and execute warehouse migrations with a parallel run, validation, and a cutover a program manager can accept.
- 04Tune clustering, warehouses, and materializations so compute follows the workload instead of a default XL.
- 05Leave platform documentation: who can create objects, who can share, and how cost is reviewed.
Typical work
What an engagement looks like
01
Platform design
Target architecture for Snowflake and/or AWS: environments, roles, storage, and the boundary with source systems.
02
Stand-up and hardening
Account configuration, network and IAM, object hierarchy, and the first landing and compute pattern.
03
Migration
Source-to-target mapping, parallel run, reconciliation, and cutover — from legacy warehouse or another cloud.
04
Performance and cost
Warehouse sizing, clustering, query hygiene, and a review cadence so the bill is explainable.
What you receive
Deliverables
- A warehouse layout roles and sharing can actually use
- AWS data paths security will approve
- Migration with a parallel run and validation
- Compute and cost that follow the workload
Capabilities
In scope
- Snowflake warehouse design, roles, sharing, and performance
- AWS data paths: S3, Glue, Lambda, IAM, and GovCloud-aware delivery
- Warehouse migrations with parallel-run cutovers
- Cost and compute hygiene as an engineering outcome
Related services
Data Engineering & Pipelines
We design and build the ingest, CDC, and orchestration that move ERP, CRM, files, and APIs into a warehouse operations can run.
dbt, SQL & Transformation
We build and refactor the dbt and SQL layer that turns landings into certified marts finance and operations can both use.
Partner & Subcontract Delivery
We deliver a named Snowflake, dbt, or AWS workstream under subcontract — in your security boundary, with a handoff a program manager can accept.
Discuss Cloud Data Platforms.
Cloud Data Platforms is contracted under Havilah Technologies LLC. Tell us the stack, the systems, and the outcome.