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Data services · Warehousing

One governed home for all your data.

Modern cloud data warehouses on Snowflake, BigQuery, Redshift or Databricks: modelled, secured and documented, so analytics, reporting and AI all start from the same trusted data.

Data engineers across Snowflake, BigQuery and Databricks.
At a glance
Snowflake
BigQuery, Redshift, Databricks
Modelled
Dimensional or data vault
Governed
Access, lineage and quality
AI-ready
A foundation for Data Cloud & ML
Since 2017
10+ years of delivery
200+
Projects delivered
100+
Salesforce certifications
5
Regions served
The challenge

Your data exists. It just does not agree.

Salesforce says one thing, the ERP another and finance keeps a third version in spreadsheets. Reports run against live systems and slow them down. A well-modelled warehouse gives every team, dashboard and AI model the same answer.

✕
Data scattered everywhere
CRM, ERP and spreadsheets that never agree.
✕
Reports that grind to a halt
Queries against live systems, slow and fragile.
✓
One governed source of truth
A modern warehouse your analytics and AI can rely on.
Sound familiar? If any of these ring true, let's design your data foundation.
?

Every department keeps its own version of customer and revenue data.

?

Reports run against Salesforce or the ERP and slow them down.

?

Month-end means exporting and stitching spreadsheets by hand.

?

Nobody knows which table or field is the real source of truth.

?

Historical data is lost every time a record is updated.

?

You want AI, but your data is too fragmented to train or ground it.

What we do

Warehousing, from design to operation.

A first subject-area mart or an enterprise lakehouse, designed for your volumes, your budget and the questions you need to answer.

Warehouse Architecture

Platform selection and a target architecture (warehouse, lakehouse or both) sized for your volumes, skills and cloud.

Data Modeling

Dimensional, data vault or wide-table models that make data easy to query, join and explain.

Source Consolidation

Salesforce, ERP, marketing, finance and product data brought together with consistent keys and history.

Governance & Security

Role-based access, masking, lineage and a data catalogue so the right people see the right data.

Performance & Cost

Clustering, partitioning and workload tuning that keep queries fast and cloud bills predictable.

AI-Ready Foundation

Clean, documented data prepared for Salesforce Data Cloud, Agentforce grounding and machine learning.

Our warehousing method

Modelled to last, not just loaded.

01
01

Assess

Inventory sources, volumes and reporting needs; choose the right platform and pattern.

02
02

Model

Design subject areas, keys and history before anything is loaded.

03
03

Build

Ingest and transform sources with tested, version-controlled pipelines.

04
04

Govern

Apply access rules, data quality checks, lineage and documentation.

05
05

Operate

Monitoring, cost control and support to keep the platform healthy.

What you get

A data foundation you can trust and grow.

Target Architecture

A documented platform design your team and future partners can build on.

Governed Data Model

Subject areas, keys and history designed for reporting and AI.

Data Catalogue & Lineage

Where every field comes from, who owns it and who can see it.

Runbooks & Handover

Operational docs and knowledge transfer so you can own it confidently.

The iTech difference

Warehouses built to outlive the next tool change.

iTechCloud
Typical warehouse build
Design
Modelled first
Load everything
History
Tracked over time
Overwritten
Access
Role-based & masked
All or nothing
Cost
Tuned & monitored
Surprise bills
Documentation
Catalogue & lineage
Tribal knowledge
Warehousing packages

From one data mart to an enterprise platform.

Fixed-scope packages that consolidate your most valuable data first, then scale into a governed enterprise platform.

Data Mart

One subject area, done right

Architecture & platform setup
Up to 3 sources
Modelled subject area
Reporting-ready tables
Talk to us
Popular

Enterprise Warehouse

Your core business data

Everything in Data Mart
Multiple subject areas
Governance & access rules
Monitoring & alerting
Talk to us

Data Platform

Analytics and AI at scale

Everything in Enterprise
Lakehouse & streaming
Data catalogue & lineage
Data Cloud / ML readiness
Talk to us
Why iTechCloud

Data engineers who think in architecture.

Salesforce data experts

We know the Salesforce data model inside out, which is where most warehouse projects stumble.

Model before you load

Designed subject areas and history, not a dump of raw tables.

Governed by default

Access, masking, quality checks and lineage built in from day one.

Ready for AI

A foundation for Data Cloud, Agentforce and machine learning, not just reports.

Credentials

Certified where it counts.

100+
Certifications held
12
Certified architects
6
Cloud specialties
Select
Salesforce Partner
CSAT 4.9
Average engagement score
ISO 27001
Security certified
Platforms we build on

The right warehouse for your stack.

Cloud warehouses and lakehouses, chosen for your data volumes, skills and existing cloud.

Snowflake
Google BigQuery
Amazon Redshift
Databricks
Azure Synapse / Fabric
Salesforce Data Cloud
Sources we consolidate

Everything that feeds your warehouse.

A sample of the platforms and sources we model and load into modern warehouses.

SF
Snowflake
Data warehouse
BQ
Google BigQuery
Data warehouse
RS
Amazon Redshift
Data warehouse
DB
Databricks
Lakehouse
AZ
Azure Synapse
Data warehouse
MF
Microsoft Fabric
Data platform
PG
PostgreSQL
Database
DC
Salesforce Data Cloud
Customer data
SC
Sales Cloud
CRM source
SV
Service Cloud
CRM source
SAP
SAP S/4HANA
ERP source
NS
Oracle NetSuite
ERP / Finance
DY
Microsoft Dynamics
ERP / CRM
MC
Marketing Cloud
Marketing source
SH
Shopify
eCommerce
ST
Stripe
Payments
DT
dbt
Transformation
FT
Fivetran
Ingestion
S3
AWS S3
Data lake
TB
Tableau
Analytics
FAQ

Data warehousing, answered.

All are excellent. The right choice depends on your existing cloud, data volumes, workloads (BI, data science, streaming) and team skills. We compare them against your requirements and costs before recommending one.
Data Cloud unifies customer data in real time for activation inside Salesforce. A warehouse is the broader analytical store for finance, operations and history. Many clients use both, with zero-copy sharing between them.
A first subject-area data mart typically takes a few weeks. An enterprise warehouse is delivered in phases, so reporting value arrives early while more sources are added.
We size compute to the workload, use partitioning, clustering and incremental loads, set usage alerts and review cost regularly as part of support.
Role-based access, column masking, row-level security, encryption and audit logging, aligned with your compliance requirements such as GDPR or HIPAA.
Yes. We assess what you have, migrate from on-premises or legacy platforms in stages and refactor models without disrupting the reports people rely on.

Let's build your source of truth.

Book a free warehouse workshop. We'll map your sources and design a foundation for analytics and AI.