Data architecture that grows with you.
Lakehouse, warehouse, mesh — the right architecture for your scale and team. We design data systems you won't outgrow in 18 months. Modular, cost-efficient, and built for the workloads you have today and the ones you'll have next year.
Improvement in query performance
Reduction in storage costs
Pipeline uptime post-redesign
From design to first production workload
What we build
Architecture for every scale.
Lakehouse design
Unified architecture that combines the best of data lakes and warehouses. One platform for BI, ML, and streaming — without the cost of maintaining two systems.
Warehouse modernization
Migrate from legacy warehouses to modern cloud-native platforms. Columnar storage, auto-scaling compute, and pay-per-query economics. Same data, 10x faster, 60% cheaper.
Data mesh implementation
Domain-oriented data ownership for large organizations. We help you define domains, build self-serve data infrastructure, and establish federated governance that scales.
Schema design & modeling
Star schemas, snowflake schemas, OBT, vault modeling — the right model for your query patterns. We design schemas that make your analysts fast and your pipelines reliable.
Multi-cloud architecture
Avoid vendor lock-in with cloud-agnostic designs. Apache Iceberg, Delta Lake, and open formats that let you run on AWS, Azure, or GCP — or all three.
Real-time architecture
Event-driven architectures for sub-second data freshness. Kafka, Flink, and streaming pipelines that deliver data the moment it matters — not hours later.
Sound familiar?
Architecture problems we solve every month.
“Our data warehouse costs are growing faster than our data.”
We redesign for cost efficiency — partition pruning, materialized views, compute-storage separation, and workload-appropriate tiers. Most clients cut costs 40-60% without losing performance.
“Our monolithic data platform is a bottleneck for every team.”
We implement a data mesh architecture — domain ownership, self-serve infrastructure, and federated governance. Teams move independently without stepping on each other.
“We need real-time data but our batch pipelines run overnight.”
We design a lambda or kappa architecture with streaming ingestion. Real-time views for time-sensitive use cases, batch for heavy analytics. Both feeding the same source of truth.
Tech stack
Tools we use in production.
Ready to build
Let's design architecture that lasts.
45 minutes with our data architects. We'll review your current architecture, identify bottlenecks, and sketch a target state that handles your next 3 years of growth.
Data engineering projects we delivered
