Services / Data & integration architecture

Data & integration architecture

One trusted data foundation for reporting, operations and AI.

AI and analytics are only as good as the data underneath them. We architect governed enterprise data platforms and integration strategies that serve many consumers from one source of truth, instead of a new point solution for every request.

What we architect

Enterprise data platforms

Snowflake data hubs with medallion architecture: source-aligned ingestion, mastered cross-system data and certified, business-ready views.

Semantic layers & data products

Shared definitions, dimensional and semantic models, and certified data products that BI tools and AI all consume consistently.

Integration strategy

Clear placement of real-time transactions, near-real-time distribution, batch, migration and data sharing across integration platforms, replication solutions and the data platform.

Cross-system client models

Unify customer and business data from CRM, ERP, HR, IT service, marketing and other enterprise systems, with identity resolution and source-system stewardship.

Governance & access

Data ownership, approved access, masking, RBAC, lineage and metadata, so data can be shared broadly and safely.

AI-ready data

Ground AI in trusted enterprise data with semantic views, retrieval and governed access, whether AI runs on the data platform, in the CRM or in custom applications.

Platforms, not point solutions

The most expensive data problem is duplication: the same logic rebuilt in every report, integration and app. We design platforms where data is ingested once, mastered once and defined once, then reused by every consumer. That cuts cost, removes conflicting numbers and gives AI a foundation it can trust.

RJ is the primary architect of a Snowflake-based enterprise client data platform that brings together data from CRM, ERP, HR, IT service, marketing and other enterprise systems into governed data products for reporting, cross-system consumption and AI.

The right workload on the right platform

Not every integration belongs in the same tool. Transactional orchestration, batch movement, data sharing, analytics and AI each have a best-fit platform and an owning domain. Getting that placement right up front keeps your architecture supportable for years.