Data Architecture Consulting and Engineering Services

From strategy to managed operations, B EYE delivers full-lifecycle data architecture services—including data lakes, lakehouses, warehouses, streaming, governance, and data as a service architecture. Our platform-agnostic approach balances cost, performance, and compliance, giving you a resilient backbone for BI, AI, and future growth. 

Request a Data Integration Assessment

Partner with Modern Data Architecture Experts
Who Optimise Cost and Scale

Whether you’re modernising on-prem EDW, building a cloud lakehouse, or unifying real-time analytics, our proven framework accelerates delivery, slashes run-costs, and prepares your organisation for next-gen data science and machine learning. 

Architecture Strategy & Roadmap

Assess current state, set KPIs, and craft a phased modern enterprise data architecture plan guided by cost and scalability targets. 

1

Data Lake / Lakehouse Engineering

Design and build cloud-agnostic lakes—led by certified data lake consultants—for unified storage, governance, and advanced analytics. 

2

Real-Time & Batch Pipelines

Streaming, CDC, and ELT pipelines engineered by data integration & analytics architecture specialists for sub-second insight delivery. 

3

Analytics & Science Platform Design

Curated marts, semantic layers, data science platform architecture, and analytics solution architecture for BI, AI, and self-service. 

4

Governance, Security & Compliance

Lineage, cataloguing, RBAC—enterprise-grade data services architecture that meets ISO, GDPR, HIPAA. 

5

Managed Optimisation & Cost Control

Continuous tuning, storage tiering, and FinOps—core to our modern data architecture engineering services for ongoing savings. 

6

Business Impact
Delivered

Faster Insights

Columnar and in-memory engines accelerate query performance, delivering answers in seconds instead of minutes. 

Lower Cloud Spend

Tiered storage, auto-scaling, and FinOps practices keep infrastructure costs in check. 

Single Source of Truth

Unified data models eliminate conflicting numbers across BI, AI, and operational reports. 

Future-Proof Scale

Architecture is designed to accommodate significant data growth without major rework. 

Rapid Time-to-Value

Proven reference patterns and automation deliver production-ready data layers in a fraction of traditional timelines. 

Our Tech Expertise

FAQ

Modern Data Architecture FAQs

What is modern data architecture?

A cloud-native framework of lakes, warehouses, streaming, and governance that delivers reliable data for BI, AI, and operational analytics—far beyond legacy EDW. 

How do you stay platform-agnostic?

We benchmark AWS, Azure, GCP, Snowflake, Databricks, and open-source stacks—selecting the mix that best meets cost, performance, and compliance goals. 

Do you redesign existing warehouses?

Yes. Our data architect consultants refactor monolithic EDW into modular lakehouse layers, preserving history while enabling new use cases. 

What about real-time analytics?

We implement Kafka, Kinesis, or Pub/Sub pipelines—part of our analytics data architecture expertise—for streaming dashboards and anomaly detection. 

Can you integrate data science workflows?

Absolutely. Our data engineering consultancy provisions scalable notebooks, ML feature stores, and CI/CD for models on top of shared data assets. 

How quickly can we get value?

Most organisations see a production-ready lake or mart in 8–12 weeks, with incremental releases every sprint. 

Do you provide ongoing support?

Yes—our managed service includes monitoring, cost governance, and schema evolution, effectively acting as your long-term modern data architecture company. 

How do you ensure security?

Encryption-at-rest, policy enforcement, and automated audits are embedded—aligning with SOC 2, PCI, and HIPAA by default. 

What sets B EYE apart from other modern data architecture consulting firms?

Speed + cost-first design, vendor neutrality, and a 96 % client-return rate—delivered by battle-tested modern data architects. 

Latest Articles

View More