Databricks

One platform.
Built around it, not alongside it.

Lakeora is a pure-play Databricks consulting partner. Every engagement, every accelerator and every delivery is built on one platform, which gives you proven architectures, faster implementation and a foundation ready for analytics, AI and governance from day one.

Talk to an architect See the services
Why Lakeora

Specialists outperform generalists.

Most consulting firms treat Databricks as one practice among many. We built our company around it.

That focus compounds. Every architecture we design, every governance model we refine and every deployment we run strengthens the next engagement. Instead of spreading ourselves across competing platforms, we invest in making one platform exceptional.

The result is faster delivery, lower implementation risk, and a platform your teams can build on for years.

Designed for production

Governance, security, cost management and operational readiness are designed into the platform rather than added once something breaks.

One accountable partner

No conflicting platform recommendations and no ownership shifting between practices halfway through. One team answers for the outcome.

Patterns, not first drafts

The decisions that normally consume a discovery phase have already been made, tested and corrected on someone else's platform first.

Services

From platform foundation to governed AI.

Ten services across three groups. Most engagements start in one group and move outward, because each group depends on the one before it holding up.

01

Foundation

Design and build the platform

Lakehouse architecture and delivery

Design and build of a unified lakehouse: workspace and environment topology, storage and network design, identity integration, and domain modelling that reflects how your organization is actually structured.

Workspace architectureDelta LakeUnity CatalogIdentity

Migration and modernization

Structured migration from data warehouses, Hadoop estates and legacy analytics environments, sequenced so operations keep running and institutional context survives the move.

Warehouse migrationHadoop exitCutover planning

Data engineering and ingestion

Reusable ingestion, transformation and orchestration patterns for batch, streaming and change data capture, built once and applied consistently rather than rewritten per source.

LakeflowStreamingCDCOrchestration
02

Intelligence

Turn the platform into decisions

Analytics and business intelligence

Semantic models, certified datasets and warehouse workloads that give the business one place to ask a question, with figures that reconcile because they come from a single governed source.

Databricks SQLSemantic modelsDashboards

Machine learning and generative AI

Feature engineering, model development, evaluation and deployment on a governed platform, including retrieval-based and generative applications built against your own data.

Mosaic AIMLflowFeature engineeringRAG

AI agents and applications

Purpose-built agents and data applications that read from governed sources, act within defined permissions, and record what they did and why.

AgentsModel ServingApps
03

Trust and Operations

Keep it governed, affordable and owned

Data governance and Unity Catalog

A governed inventory with ownership, classification, lineage and access policy applied at the platform layer, so control is enforced by the system rather than described in a document.

Unity CatalogClassificationLineageAccess policy

AI governance and compliance

Model inventory, evaluation and approval controls aligned with the EU AI Act, NIST AI RMF, ISO 42001 and local regulatory frameworks, designed into the platform rather than bolted alongside it.

Model governanceAudit evidencePolicy alignment

Platform operations and cost

Compute policies, workload tuning, monitoring and cost attribution, so performance and spend stay predictable as adoption grows across teams.

Compute policiesFinOpsMonitoringAutomation

Enablement and capability transfer

Structured training and working sessions that move platform ownership to your teams, so the estate grows with your people rather than with our invoices.

TrainingWorking sessionsRunbooksHandover
Where every engagement starts

The Foundation group,
delivered rather than designed.

Everything in the Foundation group above has to exist before anything in the other two can be trusted. Lakeora Asas is that group, pre-configured and deployed into your own cloud tenant. It is the reason our engagements start at delivery instead of at a whiteboard.

40–60%
less foundation-build effort
Days
to a governed environment
Zero
drift between environments
Explore Lakeora Asas Request a readiness assessment
What it settles up front
  • Governed from day one. Catalog, metadata conventions, ownership and role-based access established before the first workload.
  • Provable continuously. Lineage, access history and platform logs collected while the platform runs.
  • Repeatable by design. One version-controlled baseline, redeployable for the next entity or business unit.
  • Yours to keep. Native Databricks in your tenant. No Lakeora runtime, nothing to license after handover.

Great AI platforms are not built by adding intelligence.
They are built by getting the foundation right first.

Delivery model

Build the platform once. Expand with confidence.

Stage 01
Foundation

A governed platform with secure environments, identity integration, storage architecture and enterprise governance established from day one.

Stage 02
Operational intelligence

Production-grade data engineering, streaming pipelines, analytics workloads and AI applications that support day-to-day business operations.

Stage 03
Scale

Wider adoption with cost controls, governance automation, operational monitoring and the capability transfer that lets your internal teams own the platform.

Ready to begin?

Start with a Databricks readiness assessment.

In a working session with our architects, we evaluate your current platform, identify the technical and governance gaps, and define a practical roadmap to a production-ready environment.

Request your assessment Sectors we work in
You will leave with
  • A platform readiness assessment against your current environment
  • Architecture recommendations, walked through rather than emailed
  • Governance and security priorities, ordered by what breaks first
  • A deployment approach sized to your cloud and identity setup
  • Practical next steps you can act on with or without us