Scalable Data Architecture Design
Design robust, high-performance data architectures that support growing data volumes, user bases, and product workloads without sacrificing reliability or speed.
Six Architecture Pillars
Design data systems that scale from terabytes to petabytes without rewrites.
Data Modeling & Schema Design
Normalized & denormalized schemas, partitioning strategies, indexing, and migration paths for relational and NoSQL.
Discuss ArchitectureStorage & Compute Strategy
Object storage, data lakes, warehouses, columnar vs row-oriented, hot/cold tiering, and cost optimization.
Discuss ArchitectureScalability Patterns
Horizontal scaling, read replicas, sharding, caching layers (Redis), CDN, and stateless architecture.
Discuss ArchitectureSecurity & Governance
Encryption at rest/transit, row-level security, audit logging, GDPR/CCPA compliance, and data lineage.
Discuss ArchitecturePerformance Engineering
Query optimization, connection pooling, async processing, batch vs stream, and latency SLAs.
Discuss ArchitectureCloud-Native Architecture
Serverless, containers, Kubernetes, managed services (RDS, BigQuery, Snowflake), and multi-cloud strategy.
Discuss ArchitectureFive-Step Architecture Design
Current-State Audit
Inventory data sources, volumes, access patterns, pain points, and compliance requirements.
Requirements Mapping
Define SLAs, retention, consistency needs, access patterns, and growth projections.
Architecture Design
Schema design, technology selection, data flow diagrams, security model, and cost model.
Load & Risk Review
Chaos testing, failure injection, capacity planning, disaster recovery validation.
Implementation Roadmap
Phased migration plan, rollback procedures, team training, and success criteria.
Fixed-Price Architecture Packages
Blueprint to implementation. Clear scope, clear timeline. GST (18%) extra.
Architecture Blueprint
- Current-state audit
- Target architecture
- Technology selection
- Data flow diagrams
- Cost model
- 3-week delivery
Implementation Guidance
- Everything in Blueprint
- Migration scripts
- Infrastructure as Code
- CI/CD pipelines
- Team enablement
- 8-week engagement
Platform Build
- Full platform delivery
- Managed services setup
- Automated operations
- SLA guarantees
- Source code access
- 12-month support
Have Questions?
We do both. The blueprint phase delivers a complete architecture you can hand to any team. Implementation guidance includes IaC, migration scripts, and team enablement.
AWS, GCP, Azure, and hybrid. We prefer managed services (RDS, BigQuery, Snowflake, Redshift) but also design self-managed on Kubernetes.
Yes. We design phased migrations with dual-write, CDC (Change Data Capture), validation frameworks, and zero-downtime cutover strategies.
Active-passive or active-active depending on RPO/RTO. Cross-region replication, automated failover, and regular DR drills included in implementation.
We assess and either modernize incrementally or rebuild. We preserve business logic while upgrading the underlying architecture.
Design for Scale
100TB+ under management. 10x scale headroom. <10ms p99. Fixed-price packages.