Scale Your Insights, Not Your Snowflake and BigQuery Bill
Stop overpaying for rigid data stacks. We engineer high-performance cloud warehouses on Snowflake and BigQuery, transforming raw data into an AI-ready competitive advantage.
Platform Expertise to Power Your Pipeline
Deep technical services for the tools you rely on. From initial architecture to complex optimization, we ensure your tech stack is built to scale.
Pain Points
Is Your Legacy Data Stack Holding You Back?
Slow queries and fragmented sources do more than just frustrate your team; they create a “trust gap” that paralyzes decision-making. If your foundation is brittle, your business cannot scale.
1
The "Version of Truth" War
Teams waste hours arguing over whose numbers are right because data lives in disconnected spreadsheets and silos.
2
Agonizingly Slow & Unreliable Queries
You wait hours for a simple weekly report to run, paralyzing your ability to make real-time decisions.
3
Exploding & Unpredictable Cloud Costs
Unoptimized warehouses on Snowflake or BigQuery are "burning credits" on inefficient joins and redundant storage.
4
"Black Box" Data (Lack of Observability)
Pipelines break silently. You only realize the data is wrong when a frustrated executive points out an impossible number in a dashboard.
5
Lack of Historical Context
You can’t see the big picture because your systems overwrite old data, destroying valuable historical trends.
6
Security & Compliance Nightmares
Sensitive PII is exposed in unauthorized CSV exports because there is no centralized governance or Role-Based Access Control (RBAC)
Solutions
Modern Data Warehousing Services & Strategy
We don’t just “store” data; we architect environments where information is discoverable, governed, and cost-optimized. Our team specializes in transitioning organizations from rigid legacy setups to high-performance Cloud Data Warehousing using modern ELT (Extract, Load, Transform) workflows. Learn More
Cloud Warehouse Architecture & Modeling
We design high-performance schemas using Medallion Architecture (Bronze, Silver, Gold layers) or Data Vault 2.0. Whether on Snowflake, BigQuery, or Redshift, we ensure your data warehouse is structured for maximum query speed and long-term scalability.
Next-Gen Data Lakehouse Integration
Break down the wall between structured and unstructured data. We build Data Lakehouse architectures that combine the ACID compliance of a warehouse with the low-cost storage of a data lake, making your infrastructure ready for Generative AI and advanced machine learning.
Automated Data Ingestion & ELT Pipelines
Stop fighting brittle, manual scripts. We leverage industry-standard tools like Fivetran, Airbyte, and dbt to build self-healing pipelines. By treating "Data as Code," we ensure your data warehouse receives fresh, validated data every morning without manual intervention.
Warehouse FinOps & Performance Tuning
Cloud data warehousing shouldn't be a "money pit." We perform deep-dive audits of your compute clusters, identifying inefficient SQL and implementing incremental loading and clustering strategies that can slash your monthly Snowflake or BigQuery bills by 30% or more.
Data Governance, Security & Compliance
A warehouse is only as good as the trust in its data. We implement automated data quality testing and centralized governance frameworks. Protect sensitive PII with Role-Based Access Control (RBAC) and dynamic data masking to meet GDPR and CCPA standards.
Reverse ETL: Activating Your Warehouse
Don't let your data die in a dashboard. We implement Reverse ETL to push processed insights back into your operational tools—like Salesforce, HubSpot, or Zendesk. Turn your Data Warehouse from a static repository into an active engine for your sales and marketing teams.
The Journey
From Data Chaos to Strategic Clarity
A disciplined, 4-step roadmap to building your most valuable asset. Learn More
1
Discovery & Strategy Audit
We assess your current data debt, architecture, and business objectives to define high-impact quick wins and long-term scalability priorities.
2
Architecture & Security Blueprint
ur engineers design a custom technical stack, focusing on data sovereignty, cost optimization, and enterprise security
3
Development & Automated Deployment
We build your pipelines using Infrastructure as Code (IaC), ensuring every integration is documented, tested, and ready for production.
4
Monitoring & Continuous Optimization
Data ecosystems are never "finished." We implement observability, automated quality controls, and performance tuning to ensure your platform improves as volumes grow.
STEP 01
Discovery & Performance Audit
Discovery & Performance Audit
We analyze your query execution plans, schema health, and credit consumption. This identifies immediate cost-saving "quick wins" and maps the requirements for a risk-free modernization.
STEP 02
Architectural Blueprinting
Architectural Blueprinting
We design a future-proof data model (Star Schema or Data Vault 2.0) tailored to your specific query patterns. We define your compute/storage strategy and select the modern stack (e.g., dbt, Airflow) for sub-second performance.
STEP 03
Parallel Migration & Engineering
Parallel Migration & Engineering
We build automated pipelines and migrate historical data using a "Parallel Run" strategy. By running the new warehouse alongside the legacy system, we perform 100% data reconciliation before you switch over.
STEP 04
Optimization & Team Enablement
Optimization & Team Enablement
We tune the environment for FinOps efficiency to keep cloud costs low. Finally, we hand over a documented, self-healing warehouse and train your team to maintain a permanent Single Source of Truth.
Case Study
Eliminating 1,900+ Hours of Manual Work: Automated, Transparent Commissions for System Pavers
Challenge
160 hours monthly were required to manually reconcile customer payments with project milestones and calculate commissions for more than 300 design consultants. As System Pavers continued to grow, this manual process significantly increased operational risk, reduced financial visibility, and made it difficult to maintain the accuracy and trust required for timely, scheduled commission payouts.
Solution
By centralizing data from legacy systems, Microsoft Dynamics 365, and Dayforce into a unified data warehouse, Epoc Labs created a single, governed data foundation. Using DOMO Magic ETL, System Pavers automated reconciliation logic and standardized commission calculations, giving finance and sales teams a reliable, shared view of performance and the financial visibility required to maintain organizational trust.
Impact
System Pavers eliminated over 160 hours of manual effort each month and reduced annual operating costs by more than $120K. By deploying this solution across the company’s entire geographic footprint, Epoc Labs helped restore confidence in commission accuracy and improve financial visibility across all branches. This data foundation enables finance and sales teams to operate with the consistency, transparency, and trust required to sustain growth as a national leader.
The Modern Data Lifecycle
How We Architect Your Data
We transform raw, fragmented data into a high-performance asset through a rigorous multi-stage refinement process. From the Bronze layer (audit-ready raw data) to Silver (cleansed, enterprise-wide truth) and Gold (optimized for sub-second BI reporting), we ensure your data is governed, validated, and ready for AI. Learn More
Ready to Trust Your Data Again?
Stop guessing and start scaling. Partner with Epoc Labs to architect a high-performance data warehouse that cuts through the noise and turns your raw information into a measurable competitive edge.
The Outcome
The Epoc Labs Impact: Data Warehousing by the Numbers
Strategic architecture designed to maximize performance while minimizing cloud waste. Learn More
Faster Query Performance
Lower Warehouse Costs
Data Reliability
AI-Readiness
Frequently Asked Questions
Legacy on-prem systems are rigid, require high upfront CAPEX, and couple storage with compute. Modern cloud warehouses (Snowflake, BigQuery) allow you to scale each independently. This means you only pay for the compute you use, enabling you to handle massive spikes in data volume without over-provisioning hardware.
We prioritize open standards. By using open table formats like Apache Iceberg and managing your transformation logic in independent tools like dbt (data build tool), we ensure your business rules remain portable. Your data stays in your control, regardless of the underlying cloud provider.
No. We utilize a "Parallel Run" strategy. We build and validate the new architecture alongside your legacy system, using automated Data Reconciliation to ensure 100% row-for-row accuracy. We only perform the "cutover" once the new system is verified and your team is fully trained.
Costs typically spike due to "full table scans" and inefficient query patterns. We implement clustering, partitioning, and incremental loading strategies that ensure you only process the data you need. On average, our performance tuning reduces compute credit consumption by 30-50%.
Most modern enterprises need a Data Lakehouse. This architecture combines the low-cost storage of a Data Lake (for raw, unstructured files) with the ACID compliance and performance of a Data Warehouse. We help you implement a Medallion Architecture that bridges these seamlessly for both BI and AI workloads.
Initiate Your Strategic Data Consulting Partnership
Connect with our expert Data Consultants today. Discuss your challenges in data consulting and start architecting data-driven success.
Talk to a Data Consultant Today
Fill out the form below, and we'll get back to you shortly.
Architect An AI-Ready Data Foundation
AI performance is constrained or enabled by the strength of its data foundation. We partner with executive teams to assess architectural risk, modernize legacy environments, and design governed, AI-ready data ecosystems built for scale.
