SERVICES · DATA ARCHITECTURE

Data Strategy & Architecture

Enterprise data architecture, platform strategy, governance and a modernization roadmap that fits your business — not a reference diagram lifted from a vendor deck. We design the target state, sequence the path to it, and stay accountable for the outcome.
OVERVIEW

Too many platforms,
no plan? Let’s fix that.

Most data estates weren’t designed — they accumulated. A warehouse here, a lake there, three BI tools, and nobody who can say which number is right. XEqualTo works with your leadership and engineering teams to define a target architecture, the governance model around it, and a phased roadmap that gets you there without stopping the business.
We design for what you actually run: your workloads, your team’s skills, your budget, and your regulatory obligations. The result is an architecture your engineers can build and your finance team can afford.
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WHERE YOU ARE
WHERE YOU LAND
Platforms that accumulated, not designed
Three copies of every metric
Governance as a policy document
Vendor-led decisions
A migration with no sequence
OUR CAPABILITIES

Everything a data estate
needs to be designed on purpose.

Data platform strategy

Where you are, where you should land, and how to get there — a target architecture across ingestion, storage, modelling and consumption, with the trade-offs made explicit.

Enterprise data architecture

Lakehouse or warehouse, medallion layers, semantic layer, domain ownership. Designed for ELT and separated storage/compute, and sized for your workloads rather than a vendor benchmark.

Modernization roadmap

A phased plan by domain and workload, sequenced by business value and risk, with a cost and a measurable outcome attached to every phase.

Data governance design

Ownership, stewardship, data contracts, catalog and lineage — governance defined as something the platform enforces, not a document nobody reads.

Security & compliance architecture

Role-based access, PII classification, encryption, audit and retention designed into the platform so regulatory requirements are met by default.
OUR APPROACH

Discover, design,
sequence, guide.

Architecture is only useful if it gets built. We work from an honest assessment of the current estate to a target design your engineers agree with, a roadmap your finance team can fund, and hands-on guidance while it is delivered.
01
Weeks 1–3

Discover

Interview stakeholders, inventory systems, sources and consumers, and measure the real state of quality, cost and usage. Surface the decisions that were never made explicitly — and the constraints nobody wrote down.
Stakeholder interviewsEstate inventoryUsage & cost baselineConstraint map
02
Weeks 3–6

Design

Define the target architecture: platform choice, layering, modelling approach, semantic layer, governance and security model. Every decision is documented with the alternatives considered and why they were rejected.
Target architecturePlatform selectionGovernance modelDecision records
03
Value first

Sequence

Turn the design into a phased roadmap by domain and workload. Each phase has a scope, an owner, a cost estimate and a measurable outcome, so leadership can fund it phase by phase and see the number move.
Phased roadmapCost estimatesSuccess metricsRisk register
04
During delivery

Guide

Stay on as the architecture authority while the roadmap is executed — reviewing designs, unblocking teams, and adjusting the plan as the estate and the business change. By us or by your engineers.
Design reviewsArchitecture boardRoadmap updatesTeam enablement
TECH STACK WE USE

Designed for the platforms
your teams already know.

Snowflake, Databricks, dbt and the major clouds — we design on platforms our engineers build on daily, so the architecture is one that can actually be delivered.
AWS
Databricks
Microsoft Azure
Snowflake
Google Cloud
Power BI
Tableau
dbt
QUESTIONS

Things people ask
before an architecture review.

Not sure whether you need a review or a rebuild? Talk to us directly — we would rather answer it properly than guess at it.
Contact us
Only after looking at your workloads, team and budget. We work across Snowflake, Databricks and the major clouds and have no resale incentive — the recommendation is the one that fits, with the trade-offs written down.
Most estates drift from their original design as teams and tools are added. A review measures the gap between what was intended and what is running, and tells you which gaps are worth closing.
Every design comes with decision records, a phased roadmap with costs, and engineers who then build it. We are accountable for whether the architecture works in production, not just on paper.
Domain ownership, data contracts, catalog and lineage, access model, PII handling and retention — specified so the platform enforces them rather than relying on people remembering a policy.
Yes. Many clients build with their own teams while we stay on for design reviews and unblocking. Others ask us to build it. The roadmap is written so either works.
With a free architecture review: we interview stakeholders, inventory the estate, baseline cost and usage, and give you an honest assessment and a first cut of the target state within two to three weeks.

Ready for a free
architecture review?

We’ll come back with an assessment of your estate and a first draft of the target state and roadmap. No commitment beyond the conversation.

Contact us
Precision in Every Data Point
Newtown, Kolkata
One office, every time zone
connect@xequalto.com
+91 9147391433
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