Data Engineering & Infrastructure

Data Warehouse & Architecture

Centralize your data. Accelerate your decisions.

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Who It's For

This service is ideal for companies building their first centralized data warehouse, migrating from legacy databases (Oracle, SQL Server, on-prem Hadoop) to modern cloud platforms, or experiencing performance and cost issues with their existing warehouse setup.

Key Deliverables

We design and implement data warehouses and modern data architectures — from traditional star schemas to Lakehouse and Data Mesh patterns.

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Warehouse architecture design
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Dimensional modeling
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Data mart development
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Migration planning
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Performance optimization
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Cost analysis

The Challenge

When data lives in dozens of disconnected systems, getting a unified view of your business becomes nearly impossible. Analysts spend more time hunting for data than analyzing it. Reports contradict each other because they pull from different sources. And as data grows, queries slow down, costs spike, and the entire stack becomes fragile.

Our Approach

We design data warehouses and modern data architectures that serve as a single source of truth for your entire organization. Whether you’re building your first warehouse, migrating from a legacy system, or evolving toward advanced patterns like Lakehouse or Data Mesh — we architect solutions that balance performance, cost, and maintainability.

We’re platform-agnostic: we work with Snowflake, BigQuery, ClickHouse, Redshift, Databricks, and PostgreSQL — choosing the right tool for your specific needs, not the one we’re most comfortable with.

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What We Do

Architecture Design

We design your data warehouse architecture from the ground up: source-to-target mappings, layered architecture (raw, staging, marts), partitioning strategies, and access patterns. Every design decision is documented and justified.

Dimensional Modeling

We create clear, intuitive data models that serve both technical and business users. Star schemas, snowflake schemas, wide tables — we choose the right modeling approach for each use case and explain the trade-offs.

Data Mart Development

We build purpose-specific data marts for finance, marketing, product, operations, and other departments. Each mart is optimized for its consumers’ query patterns and SLAs.

Migration Planning & Execution

Moving from one platform to another is risky. We plan migrations down to the last detail: data validation, parallel running, rollback strategies, and cutover plans. Zero data loss, minimal downtime.

Performance Optimization

We diagnose and fix slow queries, optimize storage, tune clustering and partitioning, and implement materialized views. Your warehouse runs faster and costs less.

Cost Management

Cloud warehouses can get expensive quickly. We implement cost monitoring, query governance, and resource optimization strategies that keep your bills predictable.

How it Works