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Enterprise Data Architecture
Reference architectures, platform roadmaps, data operating models, and modernization strategy tailored to your organization's needs.
Enterprise Data · AI · Governance
Architect Data & AI Platforms That Scale
Metanor partners with organizations across Saudi Arabia and the United States to design, build, and govern enterprise-grade data and AI foundations — from lakehouse architectures to real-time streaming platforms.
AzureDatabricksApache KafkaApache IcebergApache Polaris
Modern Data Platform Blueprint
Live
Business Systems
ERP · CRM · SaaS
Kafka Streaming
Apache Iceberg Lakehouse
ADLS · Delta · Polaris
Governed Products
Analytics & AI
BI · ML · GenAI
Boutique expertise. Enterprise delivery.
Built for organizations that need trusted data foundations.
We focus exclusively on architecture-first consulting — data engineering, governance, streaming, lakehouse modernization, and AI readiness — with proven implementation patterns that scale across industries and geographies.
Saudi Arabia
Madinah · KSA
United States
Richardson, Texas
Services
From strategy to scalable implementation
Metanor supports the full lifecycle of modern data platform transformation.
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Data Engineering
Batch and streaming pipelines, data lake patterns, orchestration, quality frameworks, and automation at enterprise scale.
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Data Governance
Catalog, lineage, stewardship, data quality, security patterns, and governance operating models that create organizational trust.
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Lakehouse Modernization
Open table format strategies using Apache Iceberg, Spark, Polaris, and cloud object storage for long-term interoperability.
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Streaming Platforms
Kafka event-driven architectures for real-time analytics, integration, and data products at enterprise scale.
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AI & Analytics Readiness
Trusted data foundations for BI, ML, GenAI, semantic layers, and governed enterprise insights that fuel decision-making.
Solutions
Modern patterns for data-driven organizations
Cloud Data Modernization
Move from fragmented legacy platforms to scalable, governed cloud data platforms centered on Azure, lakehouse patterns, and analytics enablement.
Open Lakehouse Architecture
Design open, interoperable lakehouse platforms using Apache Iceberg, Polaris, Spark, and object storage for long-term vendor flexibility.
Real-Time Data Products
Create Kafka-based event streams and curated data products that serve operational reporting, analytics, and AI use cases simultaneously.
Governed AI Foundation
Prepare enterprise data for AI by improving trust, lineage, quality, access control, and reusable semantic definitions across the organization.
Cloud Data Modernization
Legacy Silos
On-Prem DW
↓ Migration Path
Azure Cloud
Lakehouse
Analytics
Industries
Expertise across business domains
Data architecture patterns designed for the specific regulatory and operational realities of each sector.
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Financial Services
Governed analytics, risk data, customer 360, and regulatory-ready platforms for banks, investment firms, and insurance companies.
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Healthcare
Secure data platforms for clinical, operational, and analytics use cases with HIPAA-aligned governance frameworks.
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Retail & E-Commerce
Real-time customer insights, personalization engines, inventory analytics, and marketing attribution platforms.
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Manufacturing
Operational intelligence, IoT data platforms, quality analytics, supply chain visibility, and predictive maintenance.
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Technology & SaaS
Product analytics, platform modernization, event streaming infrastructure, and AI enablement at scale.
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Government & Public Sector
Secure, compliant data architectures aligned with Vision 2030 initiatives and US federal data modernization programs.
About Metanor
Architecture-first consulting, built for the modern data era.
Metanor is a specialist data, AI, and software consulting firm focused on enterprise data engineering, modern analytics, governance, and AI-ready platforms. We combine deep technical expertise with an architectural mindset — delivering solutions that are not only functional today, but scalable and maintainable over the long term.
Operating at the intersection of Saudi Arabia's ambitious Vision 2030 digital transformation goals and US enterprise data modernization, Metanor is uniquely positioned to support organizations navigating both markets.
Work with us🇸🇦
Saudi Arabia
Madinah, KSA
Supporting Vision 2030 digital transformation initiatives and enterprise data modernization across the Kingdom.
🇺🇸
United States
Richardson, Texas
Serving enterprise clients across the US with deep expertise in cloud data platforms and AI readiness.
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Architecture-first thinking
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Open standards advocacy
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Practical implementation
Insights
Thinking for modern data leaders
Architecture
What makes a data platform AI-ready?
Trusted data, lineage, governance, semantics, and reusable data products form the foundation that separates AI-capable organizations from those still preparing.
Lakehouse
Why open table formats are the future of the data lake
Apache Iceberg enables interoperability, scale, and long-term flexibility across compute engines — reducing vendor lock-in and increasing architectural resilience.
Streaming
From batch pipelines to event-driven intelligence
Kafka allows data teams to move beyond delayed reporting toward real-time enterprise intelligence, unlocking new product capabilities and operational advantages.
Start the conversation
Ready to modernize your data platform?
Discuss your architecture, governance, streaming, lakehouse, or AI-readiness goals with Metanor. We work with organizations across Saudi Arabia and the United States.
🇸🇦 Madinah, Saudi Arabia
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🇺🇸 Richardson, Texas, USA