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Data Architecture Consulting
Design scalable, secure, and future-ready data architectures that power analytics, AI, and business growth.
Architecture That Scales With the Business, Not Against It
Data architecture is the structure behind how data gets collected, stored, connected, and used, the blueprint that decides whether a new business unit can plug in cleanly or becomes another disconnected system to work around. Most organisations don't notice their architecture is a problem until growth exposes it: a new acquisition's data doesn't map to anything, a reporting delay turns into a weekly complaint, or an AI initiative stalls because nobody can say with confidence which numbers are actually correct. Geopits designs architecture around where the business is headed, not just where it is now, so the next system that gets added strengthens the foundation instead of adding to the mess.
What's Included
Every recommendation is grounded in the organisation's actual infrastructure, not a generic reference model. Geopits architects data systems built for scale, cost efficiency, and where the platform needs to go next.
Data Architecture Assessment
A review of the current environment, technology, and gaps, with a modernisation roadmap as the output
Enterprise Data Architecture Design
Data models, structures, and flow design built for scale, performance, and security
Modern Data Architecture
Data warehouse, data lake, and lakehouse architectures designed around current usage patterns
Cloud Data Architecture
Cloud migration planning and architecture across Azure, AWS, Google Cloud, and hybrid environments
Data Integration Architecture
ETL/ELT design, API integration, and real-time pipeline frameworks that connect disconnected systems
Analytics & BI Architecture
Environments built to support reporting, dashboards, and enterprise analytics without the usual performance drag
AI-Ready Data Architecture
Data preparation, machine learning pipeline design, and RAG implementation frameworks for AI initiatives
Platforms and Technologies
Geopits brings certified specialists and proven frameworks to every engagement, ensuring consistency, performance, and reliability whether you're managing databases, modernizing platforms, or building data-driven systems at scale.
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How We Works
From what's actually slowing things down to a roadmap that avoids rebuilding twice. Here's how Geopits designs architecture that holds up.
Who We Are
“Geopits is not just a support vendor. We are a long-term data partner.”
We work alongside your team, not just as a vendor you call when things break, but as a partner invested in your success.
Happy Clients and counting
Databases being managed
Successful Database Migrations
DB Transactions per day
Why Teams Choose Geopits
Proactive support, predictable pricing, and certified expertise, no matter which platform your business runs on.
Architects who've actually rebuilt legacy systems, not just diagrammed them
Geopits architects have modernised legacy SQL Server environments, migrated enterprise data warehouses to the cloud, and designed lakehouse architectures for analytics and AI, work that shows up in the recommendations, not just the case studies.
Engineering depth behind the architecture
Strong data engineering capability means the designs are buildable, not just theoretically sound on a whiteboard.
Cloud expertise across the major platforms
Azure, AWS, and Google Cloud experience means architecture decisions aren't shaped by familiarity with just one ecosystem.
BI and analytics fluency built in
Architecture gets designed with reporting and dashboard performance in mind from the start, not patched in after analytics teams hit a wall.
AI-ready by design, not by retrofit
Data foundations get built to support machine learning and generative AI use cases from the outset, so AI initiatives don't stall waiting for a data foundation that should've already existed.
Industries We Serve
Database requirements vary significantly by industry. The uptime threshold for a payment processing system is different from an edtech platform. The compliance surface for a healthcare application is different from a retail analytics stack. Our team has delivered managed DBA services across these verticals.
Banking, Financial Services & Insurance
Geopits manages, secures, and modernises the databases that power core banking, payments, claims, and fraud detection systems. Built for institutions where uptime, compliance and data accuracy are non-negotiable.
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EduTech
Geopits manages, secures and modernises the databases behind LMS platforms, student records and learning analytics. Built for edtech companies that need to scale learner numbers without putting student data or privacy at risk.
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Fintech
Geopits manages, secures, and scales the data infrastructure behind payments, lending, wallets, and embedded finance platforms. Built for fintech teams that need to move fast without putting transaction data or compliance at risk.
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HealthCare
Geopits manages, secures and modernises the databases behind EHR systems, patient records and clinical data. Built for hospitals and health systems where data accuracy, uptime and patient privacy are non-negotiable.
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Logistics
Geopits manages, secures and scales the databases behind booking engines, reservation systems, and loyalty programs. Built for logistics and hospitality platforms that need to handle peak-season traffic without booking data or payments at risk.
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Manufacturing
AI-enabled data management driving efficiency by automating data pipelines, enhancing quality, and accelerating analytics.
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Case Studies
From monitoring to modernization, Geopits provides expert database management services that enhance performance, strengthen security, and reduce operational costs.
How Geopits helped a logistics platform harden and right-size a high-volume MySQL environment
All-in-one eCommerce shipping and logistics platform helping online sellers manage fulfillment, shipping, and delivery.
How Geopits helped a core banking platform resolve performance bottlenecks in a high-volume SQL Server environment
AI-driven infrastructure platform enabling financial institutions to build and operate banking, lending, and payment services through unified APIs.
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How Geopits audited Danamojo's production donation database and found a 216-million-row bottleneck
India's first payment solutions platform built specifically for NGOs, enabling online donations and payment processing for nonprofits.
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Related Resources
Frequently Asked Questions
What is data architecture consulting?
It's the process of designing and improving the systems, structures, and frameworks used to manage enterprise data.
Why do companies need data architecture services?
To improve data management, support analytics, reduce complexity, and build a foundation that can handle future growth without a major redesign.
What does a data architecture consultant actually do?
Evaluates the existing systems, designs the future-state architecture, recommends technologies, and builds an implementation plan to get there.
What are the components of modern data architecture?
Data sources, an integration layer, storage platforms, processing frameworks, and the tools people actually use to consume the data, like BI dashboards and analytics platforms.
How does data architecture support AI and analytics?
By making sure the data feeding reports and AI models is organised, accessible, and reliable, rather than scattered and inconsistent.
How long does a data architecture project take?
It depends on scope. An assessment can take a few weeks; a full transformation initiative usually runs several months.
Ready to Transform Your Data?
Geopits works alongside your team as a strategic partner, starting with stabilizing your current databases, then modernizing your data infrastructure, and ultimately helping you unlock the full potential of AI.
Happy Clients so far
Databases Managed
Successful Migrations
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