Data Platform Design
Architect the engine. Cloud-native, scalable, and secure platform blueprints (Lakehouse, Mesh, Fabric) tailored to your scale and business requirements.
What You Get
A comprehensive platform architecture designed to support your data and AI workloads at scale. We design modern, cloud-native platforms using patterns like Data Lakehouse, Data Mesh, or Microsoft Fabric, optimized for performance, cost, and flexibility.
Perfect for organizations building new data platforms, modernizing legacy infrastructure, or scaling existing systems to support AI and advanced analytics.
Engagement Overview
Platform Components
Storage Architecture
Data lake, warehouse, and lakehouse design with partitioning strategy
Processing Layer
Batch and streaming pipelines, compute optimization, orchestration
Cloud Infrastructure
Multi-cloud strategy, service selection, and cost optimization
Integration Patterns
API design, event-driven architecture, and data movement
Security & Governance
Access control, encryption, compliance, and data lineage
AI/ML Infrastructure
Model training, deployment, and MLOps capabilities
Deliverables
Architecture Blueprint
Comprehensive platform design with logical and physical architecture diagrams.
Technology Stack
Detailed service selection with rationale, alternatives analysis, and cost estimates.
Data Flow Diagrams
End-to-end data movement patterns for ingestion, processing, and consumption.
Security Design
Access control model, encryption strategy, and compliance framework.
Implementation Roadmap
Phased build plan with milestones, dependencies, and resource requirements.
Operations Runbook
Monitoring, alerting, backup, and disaster recovery procedures.
Modern Data Platform Architecture
End-to-end platform architecture from data ingestion to analytics and AI
Ready to Design Your Platform?
Build a modern, scalable data platform that supports your analytics and AI ambitions.
Schedule a Consultation