Data Architecture Architecture for the business you have—and the one you are becoming.

Good architecture makes trustworthy information easier to produce, share, secure, and evolve. It should reduce complexity, not simply relocate it.

Rillet Data designs practical foundations around your goals, current environment, team, and capacity to operate what is built.

Built for growing companies with 1–250 employees. Microsoft-first where it fits; platform-pragmatic where it does not.

Typical work

What the engagement can include.

Broader advisory and implementation work is shaped around the outcome. If a fixed-scope offer fits first, Rillet Data will recommend it.

01 Current-state architecture assessment
02 Target-state and reference architecture
03 Data flow and integration design
04 Data models and platform patterns
05 Governance, quality, security, and ownership guardrails
06 Platform and vendor evaluation
07 Migration and implementation planning
08 Focused implementation, decision records, and maintainable documentation

Best-fit signals

This may be the right conversation if…

Systems hold overlapping or contradictory information.

Integrations are fragile, manual, or poorly understood.

A cloud, warehouse, lakehouse, or platform decision needs structure.

Reporting cannot be trusted without extensive reconciliation.

Growth is increasing complexity faster than the team can manage it.

Illustrative engagement

From fragmented systems to an operable foundation.

A growing manufacturer relies on ERP data, SQL databases, spreadsheets, and shop-floor systems that do not align. Rillet Data could document the flows, evaluate Azure and Fabric where appropriate, design a right-sized target architecture, and guide the first implementation.

Hypothetical example only—not a client case study, testimonial, or measured result.

Data Architecture

Design the right foundation

Bring the challenge in its messy form. Rillet Data will clarify the outcome and the next sensible move.

Request a 20-minute fit call