Practice Area • Architecture

Data Strategy & Lakehouse Architecture

Build the unshakeable foundation for enterprise intelligence. We architect scalable, secure, and cost-optimized lakehouses that turn fragmented operational records into unified competitive advantage.

The Architecture Blueprint for Modern Growth

As organizations accumulate diverse data sources—from relational databases and SaaS applications to IoT streams and web analytics—traditional data warehouses buckle under storage costs, schema rigidity, and query bottlenecks.

At Absolute Data Insights, we design decoupled compute-and-storage architectures on Snowflake, Databricks, and BigQuery. We engineer semantic medallion architectures (Bronze → Silver → Gold) that guarantee data cleanliness, auditability, and blazing sub-second queries.

Core Architectural Capabilities

✓ Cloud Migration Sprints: Zero-downtime cutovers from legacy SQL Server, Oracle, or on-premise clusters.
✓ Warehouse Cost Optimization: Automated query clustering, warehouse resizing, and auto-suspend policies cutting bills by up to 45%.
✓ Semantic Modeling with dbt: Centralized business metrics, automated schema contracts, and rigorous automated tests.
✓ Multi-Region Resilience: Disaster recovery, point-in-time time-travel recovery, and geo-replicated high availability.

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Case In Point • Architecture

From 6-Hour Nightly ETL to 14-Second Streaming Lakehouse

For a multi-national financial platform processing 25 million records daily, we replaced legacy stored procedures with a modern Snowflake + dbt lakehouse. The result: 42% cloud savings and sub-minute executive dashboard freshness.

Migration Duration: 6 Weeks Total

Compute Cost Reduction: 42% Savings ($180k/yr)

Report Refresh Latency: 14 Seconds

Review Full Technical Case Study →

Have questions about your data stack?

Our principal architect can review your current schemas and calculate your potential cloud cost savings.

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Practical Resources

Guides for growing data teams

Use these evidence-led resources to scope architecture decisions and investigate performance changes.

A practical data architecture guide

A staged approach to sources, pipelines, ownership, and architecture choices without overbuilding.

Read the guide →

SQL Server Query Store triage checklist

Compare workload, plan, and runtime evidence before choosing a safe next step.

Open the checklist →