Data Architecture
Data Architecture Services That Build the Foundation for Clean, Scalable Data
Oklahoma Data Partners designs the blueprint your data runs on — clear models, connected systems, a governed warehouse or lakehouse, and a cloud-ready plan to scale. Senior, specialist-led architecture expertise without the cost of a full-time hire. Based in Oklahoma City, OK, Oklahoma Data Partners serves the Oklahoma City–Tulsa region and supports teams locally across Oklahoma. Architecture defines the target models, standards, and platform patterns; a Data Platform Roadmap sequences the priorities, investment, and execution needed to reach that target.
Priority and after-hours support available by plan.
Data Architecture Blueprint
okdp · enterprise data platform
Systems integrated
12
Architecture readiness
94%
Data domains
8
Governance coverage
96%
architecture.blueprint
liveArchitecture readiness
Live architecture activity
Sales domain · modeled
star schema · 6 dimensions
Warehouse core · governed
ownership + lineage set
CRM → warehouse · integrating
staging → core layer
Legacy export · flagged for redesign
no clear owner or lineage
Readiness by layer
92% avgSound familiar?
The data problems that quietly hold your business back
None of these look like a single dramatic failure — they scatter your data, erode trust in your reports, and make every new system harder and more expensive to add.
Data scattered across systems
Customer, sales, and operational data live in separate apps, spreadsheets, and databases that were never designed to fit together.
No clear data architecture
There's no agreed blueprint for how data should flow, so every new system gets bolted on in whatever way is fastest that week.
Reports built on inconsistent definitions
"Revenue" or "active customer" means something different in every report, so leadership argues about whose numbers are right.
Duplicate records everywhere
The same customer or transaction exists in three systems with no shared key, quietly inflating every total and metric.
Poor database relationships
Tables and systems that should connect don't, so joins drop rows, break integrity, and make trustworthy reporting nearly impossible.
Pipelines built without strategy
Data movement grew one fragile script at a time, with no shared model, so a small change in one place breaks reports elsewhere.
Cloud tools added without a roadmap
New cloud databases, warehouses, and SaaS tools accumulate without a plan, driving up cost and complexity instead of clarity.
No governance or ownership
Nobody clearly owns key datasets, definitions, or access, so quality, security, and accountability fall through the cracks.
An architecture that won't scale
What worked at a smaller size now strains under more data, more users, and more reporting — and rework keeps getting more expensive.
Teams don't trust the data
When numbers don't reconcile, people fall back on gut feel and private spreadsheets — and the data stops driving real decisions.
What we do
End-to-end data architecture
From assessment and data modeling to warehouse, cloud, governance, and modernization — one team that designs the data foundation your business runs on.
Architecture Assessments
A clear-eyed review of your current data systems, flows, and pain points — with a prioritized read on what to fix, keep, and rebuild.
Assess your architectureCurrent & Future-State Design
A documented picture of where your data architecture is today and a practical blueprint for where it should go next.
Design the blueprintData Modeling
Conceptual, logical, and physical data models that map your real business entities into a clean, query-friendly structure.
Model your dataDatabase Architecture Review
A structural review of your databases — schemas, keys, relationships, and patterns — so they're built to perform and scale.
Review your databasesData Warehouse Architecture
Warehouse designs with staging, core, and mart layers modeled for fast, consistent reporting and analytics.
Architect a warehouseLakehouse Planning
Lakehouse architecture that combines the flexibility of a data lake with the structure and performance of a warehouse.
Plan a lakehouseCloud Data Architecture
Cloud-native and hybrid architectures on Azure and modern platforms — scalable, secure, and cost-aware by design.
Design for cloudData Integration Design
A coherent plan for how systems share data — keys, contracts, and flows — so everything connects instead of colliding.
Design integrationData Governance Foundations
Ownership, definitions, cataloging, and quality standards that make data trustworthy and accountable across the business.
Lay governance foundationsSecurity & Access Design
Role-based access, least-privilege patterns, and security-by-design so the right people reach the right data safely.
Design secure accessScalability Planning
Architecture designed to grow with more data, more users, and more reporting — without an expensive rebuild every few years.
Plan to scalePlatform Modernization
A staged path from spreadsheets and aging databases to a modern, governed data platform — without a risky big-bang rewrite.
Modernize the platformMigration Roadmaps
Sequenced, low-risk migration plans that move you onto modern platforms in deliberate phases, with a clear rollback path.
Map a migrationReporting & Analytics Architecture
A modeled reporting layer and semantic definitions so dashboards are fast, consistent, and built on one trusted source.
Architect analyticsArchitecture Documentation
Clear diagrams and documentation of your data architecture, so your team understands and owns the foundation it runs on.
Document the designThe architecture flow
From source systems to trusted decisions
Good architecture is a deliberate path. We start with your business goals and design every layer between your source systems and the decisions your teams make every day.
Business Goals
What the data must enable
Source Systems
Apps, databases & files
Data Model
Entities & definitions
Integration Layer
Systems connected
Warehouse / Lakehouse
Modeled & governed
Governance Layer
Trusted & owned
Analytics & Dashboards
Clear, consistent
Trusted Decisions
Data people rely on
Data modeling
Data models built for clean, consistent reporting
Most reporting pain starts with a weak model. We design conceptual, logical, and physical models — with conformed dimensions and shared definitions — so every report is built on one trusted structure.
Star schema for analytics
fact + dimensionsBusiness entities
Modeled around how your business really works
Relationships
Keys and links that hold integrity together
Facts & measures
Clean fact tables for consistent metrics
Dimensions
Conformed dimensions shared across reports
Grain & granularity
The right level of detail, defined up front
Business definitions
One agreed meaning for every key metric
Naming standards
Consistent, predictable conventions
Reporting layers
A semantic layer shaped for analytics
Analytics-ready
Models built for fast, trustworthy reporting
Documented models
Diagrams your whole team can understand
Warehouse & lakehouse
Analytics on a foundation built to scale
Heavy analytics need a structure built for it. We design warehouse and lakehouse architectures with clean, governed layers — so reporting stays fast and consistent as your data grows.
Layered by design
Staging, core, and mart layers keep raw data, modeled data, and reporting cleanly separated and easy to reason about.
Warehouse or lakehouse
We help you choose — and architect — the right pattern for your data, from a classic warehouse to a modern lakehouse.
Batch & streaming ready
Designed to handle scheduled batch loads and near-real-time streams, so the platform fits how your data actually arrives.
Governed & documented
Built with ownership, definitions, and lineage in mind, so the warehouse stays trustworthy as it grows.
Source Systems
Apps, DBs & files
Ingestion & Staging
Landed as-is
Transformation
Cleaned & modeled
Warehouse / Lakehouse
Core, governed data
Data Marts
Shaped for reporting
BI & Analytics
Dashboards & reports
Cloud data architecture
Cloud architecture, designed with intent
Cloud tools added without a plan create cost and chaos. We design cloud-native and hybrid architectures that are scalable, secure, and cost-aware — built for where you are and where you're going.
Cloud-native design
Architectures built for Azure and modern cloud data platforms
Hybrid & on-prem bridges
Plans that connect on-premise systems to the cloud safely
Scalable storage & compute
Designed to scale up and down with demand, not break under it
Cost-aware architecture
Patterns that control cloud spend instead of letting it sprawl
Secure by design
Access, encryption, and isolation considered from day one
Managed-service ready
Leaning on managed platforms to reduce operational burden
Governance & security
Trust and control, built into the foundation
Data people don't trust — or can't safely access — isn't an asset. We design governance and security into the architecture, so the right people reach the right data with confidence.
Governance & security gaps
The riskNo clear data ownership
Key datasets have no owner, so quality and accountability fall through the cracks.
Conflicting definitions
The same metric is calculated differently across teams, eroding trust in every report.
No data catalog
Nobody can easily find what data exists, what it means, or where it comes from.
Uncontrolled access
Permissions granted ad hoc over the years, with no clear, least-privilege model.
No data lineage
When a number looks wrong, there's no way to trace it back to its source.
Compliance & risk exposure
Sensitive data spread across systems with no consistent controls or audit trail.
How Oklahoma Data Partners builds it in
Built inOwnership & stewardship
Clear owners and stewards for key datasets, so quality has a name attached to it.
Shared business glossary
One agreed definition for every key metric, documented and reused everywhere.
Data catalog foundations
A starting catalog so people can find, understand, and trust the data they use.
Role-based access design
Least-privilege, role-based access patterns that fit how your teams actually work.
Lineage & documentation
Documented flows from source to report, so numbers can always be traced.
Security by design
Encryption, isolation, and controls designed into the architecture, not bolted on.
What you get
What you get from a Oklahoma Data Partners data architecture engagement
Every engagement leaves you with a clear, documented architecture you own — plus a prioritized readiness score showing exactly where your data foundation is strong and where to invest.
Current-state architecture review
A clear assessment of your existing systems, data flows, and the gaps holding you back.
Future-state data architecture
A documented target architecture showing how your data should be structured and flow.
Data model diagrams
Conceptual, logical, and physical models that map your business into clean structures.
Database architecture recommendations
Concrete guidance on schemas, keys, and patterns to make databases scale and perform.
Warehouse or lakehouse blueprint
A layered design for analytics — warehouse or lakehouse — modeled for reporting.
Data governance roadmap
A staged plan for ownership, definitions, cataloging, and quality standards.
Security & access recommendations
Role-based access and security patterns that protect data without blocking work.
Migration roadmap
A sequenced, low-risk plan to move onto modern platforms in deliberate phases.
Platform modernization plan
A practical path from spreadsheets and legacy databases to a modern data platform.
Data integration design
A coherent plan for how systems share data — keys, contracts, and reliable flows.
Reporting architecture plan
A modeled reporting layer and definitions so dashboards stay fast and consistent.
Architecture documentation
Clear diagrams and docs so your team fully understands and owns its data foundation.
Sample architecture readiness scorecard
Every assessment ends with a score like this — a clear, prioritized read on where your data architecture is solid and where it needs investment.
The difference
From scattered systems to a structured data foundation
Before Oklahoma Data Partners
Scattered & fragile- Data scattered across disconnected systems
- No clear architecture or blueprint
- Reports built on inconsistent definitions
- Duplicate records everywhere
- Poor database relationships
- Pipelines built without strategy
- Cloud tools added without a roadmap
- Teams that don't trust the data
With Oklahoma Data Partners
Structured & trusted- A clear, documented data architecture
- A better, business-aligned data model
- Defined, consistent reporting layers
- Cleaner, well-designed data flows
- A stronger governance foundation
- A scalable warehouse or lakehouse design
- Better security and access planning
- Trusted data for analytics and decisions
Tools & platforms
Data platforms & technologies we support
Whether your data platform is on-premise, cloud-based, hybrid, or still growing from spreadsheets and disconnected systems, Oklahoma Data Partners helps design the architecture that supports cleaner data and better decisions.
Ways to work together
Choose the right data architecture support
Whether you need a clear assessment, a clean data model, a warehouse or lakehouse designed, a modernization roadmap, or ongoing senior guidance, there is a clear way to start.
Data Architecture Assessment
Teams who know something is wrong but need a clear, expert read on their data systems.
- Current-state architecture review
- Key gaps & risks identified
- Prioritized recommendations
- A practical next-step roadmap
Best fit: Getting clarity before you invest
Book an AssessmentData Model Design
Teams whose reporting and data don't line up because the underlying model is weak.
- Conceptual & logical models
- Conformed dimensions & facts
- Shared business definitions
- Analytics-ready reporting layer
Best fit: A clean model your reports can trust
Design a Data ModelData Warehouse Architecture
Teams ready to build (or rebuild) analytics on a proper warehouse or lakehouse.
- Warehouse or lakehouse blueprint
- Staging, core & mart layers
- Integration & load design
- Power BI–ready models
Best fit: Fast, consistent analytics at scale
Architect a WarehouseCloud Modernization Roadmap
Teams moving from spreadsheets or legacy databases toward a modern cloud platform.
- Future-state cloud architecture
- Phased migration roadmap
- Cost & scalability planning
- Security & access design
Best fit: A safe path to a modern platform
Plan ModernizationMonthly Data Architecture Advisory
Teams that want senior architecture guidance as their data and systems evolve.
- Ongoing architecture guidance
- Design reviews & decisions
- Governance & roadmap updates
- Priority and after-hours support available by plan
Best fit: A senior architect on call
Get Ongoing AdvisoryQuestions, answered
Data architecture FAQ
Ready to build a cleaner, stronger data foundation?
Talk to Oklahoma Data Partners about your data systems, architecture, reporting layers, warehouse, cloud plans, governance needs, and modernization goals. We will help you design the structure your data needs to grow.
Priority and after-hours support available by plan.
Security & confidentiality
Your data environment is treated with care.
We treat database, reporting, and analytics environments as sensitive — and handle every engagement with professionalism, discretion, and respect for your systems.
Respect for internal systems
Careful access handling
Security-aware recommendations
Confidential conversations
Documentation discipline
Business-sensitive reporting awareness