CoreTechitect
Data architecture · Analytics · Applied AI

The data foundation the rest of the company stands on.

CoreTechitect designs and builds modern data warehouses for organizations that have outgrown spreadsheets, dashboards no one trusts, and pipelines held together by one person's memory. Architecture first — then analytics that hold up in a board meeting.

14×
faster reporting cycles after warehouse migration
1
source of truth across finance, operations, and product
6 weeks
from kickoff to the first dashboard leadership trusts
0
vendor lock-in — you own every line of the stack

What we are engaged to do

Four practices, one engagement. Most clients begin with the warehouse and expand into the rest as the foundation proves out.

01 — Platform

Modern data warehouse

Cloud-native architecture on Snowflake, BigQuery, or Databricks — modeled properly, documented, and tested from day one.

  • Ingestion and ELT pipelines
  • Dimensional and semantic modeling
  • Governance, lineage, access control
02 — Analytics

Analytics engineering

Metrics defined once and used everywhere, so finance and operations stop reconciling whose number is correct.

  • dbt transformation layer
  • Executive and operational reporting
  • Data quality testing and alerting
03 — Science

Data science & applied AI

Forecasting, segmentation, and LLM-backed workflows built on data your team can defend under scrutiny.

  • Demand and revenue forecasting
  • Churn and propensity modeling
  • Production ML deployment
04 — Advisory

Fractional data leadership

Senior judgment on retainer — roadmap, platform decisions, and hiring — without carrying a full-time executive.

  • Data strategy and roadmap
  • Platform and vendor selection
  • Team design and hiring
Engagement method

Architecture before dashboards. Always.

Phase 01 · Weeks 1–2

Audit

We map every source, every recurring report, and every place a number is manually adjusted. You receive a written assessment whether or not the engagement continues.

Phase 02 · Weeks 3–8

Build

Warehouse, pipelines, and the modeling layer — delivered in two-week increments against the metrics leadership already asks for.

Phase 03 · Ongoing

Transfer

Documentation, runbooks, and training for your team. The objective is a stack your people can operate without us — and a standing line when they would rather not.

In practice

“We stopped guessing. Six weeks in, the leadership team was reading the same numbers off the same system for the first time since we founded the company.”

Operating partner · consumer nutrition brand

Manual reporting hours per week22 → 2
Time to define a new metric3 wks → 1 day
Disputed figures in board decksNone
Stack ownership100% client

Start with the audit.

A 45-minute conversation and a written assessment of your data estate. No obligation to build with us afterward.

We reply within one business day.