Azure and Databricks consulting for the UAE, Saudi Arabia, Qatar and wider MENA

Databricks consulting for enterprises across the Middle East

Lakehouse architecture, implementation and optimisation on Azure Databricks, from the first workspace to production data products.

Overview

Whether you are starting with Databricks or your platform has grown faster than its design, we architect, build and tune lakehouses that stay reliable and affordable as data volumes grow. Every engagement is led hands-on by a senior architect, not handed to a junior team.

Sound familiar?

  • Pipelines were built quickly and now fail silently or need manual reruns
  • Databricks costs rise every month and nobody can explain why
  • Workspaces still run on the legacy Hive metastore with access granted ad hoc
  • The team knows Spark but not the production patterns that keep a lakehouse stable

What we deliver

Lakehouse architecture

Medallion design on Delta Lake with clear Bronze, Silver and Gold contracts, naming standards and environment strategy.

Unity Catalog setup and migration

Catalog and schema design, Hive metastore migration, access policies and lineage switched on from day one.

Lakeflow and Delta Live Tables

Declarative pipelines with expectations, incremental processing and built-in data quality metrics.

Streaming and CDC

Near-real-time ingestion from databases, Event Hubs and Kafka using Structured Streaming and change data capture.

CI/CD with Asset Bundles

Version-controlled jobs and pipelines deployed through Azure DevOps or GitHub across dev, test and production.

Cost and performance tuning

Job versus all-purpose compute, cluster policies, file layout, liquid clustering and Photon where it pays off.

Technology

  • Azure Databricks
  • Delta Lake
  • Unity Catalog
  • Lakeflow / DLT
  • Databricks SQL
  • Databricks Workflows
  • Asset Bundles
  • MLflow
  • PySpark
  • Spark SQL

What you can expect

71%lower monthly platform cost on a recent lakehouse, from $12,000 to $3,500
50+production pipelines designed and delivered on a single platform
1 owneraccountable senior architect from assessment to handover

How we deliver

The same disciplined approach on every engagement, scaled to your scope.

  1. Assess

    Understand your current platform, data and priorities, and agree what success looks like.

  2. Design

    Target architecture and a phased plan, reviewed with your technical and business owners.

  3. Build

    Hands-on delivery with your team, tested and reconciled as we go.

  4. Hand over

    Documentation, runbooks and mentoring so your team owns the result.

Common questions

Anything else? Ask us directly.

A foundational lakehouse with the first production data products typically takes 8 to 16 weeks, depending on the number of source systems and governance requirements. A platform health check takes 2 to 3 weeks.

Yes. We inventory existing tables, jobs and permissions, design the catalog structure, migrate in phases and validate that jobs and reports behave the same afterwards.

In most platforms, yes. Typical savings come from moving scheduled work to job compute, right-sizing and auto-terminating clusters, enforcing cluster policies and fixing file layout. One recent platform went from $12,000 to $3,500 a month.

Our focus is Azure Databricks. The lakehouse patterns carry across clouds, and we can advise on AWS or Google Cloud deployments case by case.

Talk to a senior data architect, not a sales team

A 30-minute call to understand your platform and where it is holding you back. You will leave with practical next steps, whether or not we work together.