Databricks Implementation Partner

Databricks Partnership for the Data Intelligence Platform

We help enterprises unify data engineering, analytics, and AI on one lakehouse — turning raw data into governed, production-grade intelligence with Databricks' open, multi-cloud platform.

Finance · Manufacturing · RetailIndustries served
Lakehouse · ML · Data engineeringProject types
CDP · CRM · ERP · BI toolsKey sources integrated
AI-led discovery & deliveryOur delivery model

Partnership Overview

Why Solutionara + Databricks

Databricks unifies data engineering, analytics, and AI on a single open lakehouse. As an implementation partner, we bring deep platform and data-engineering expertise to every engagement — robust pipelines, governed data, and production-ready machine learning that scales.

What is Databricks?

An open, multi-cloud Data Intelligence Platform built on the lakehouse architecture — combining the scale of data lakes with the reliability of warehouses, plus native tooling for data engineering, BI, and AI/ML.

Why we partner with Databricks

Built on open standards like Apache Spark, Delta Lake, and MLflow, Databricks is the right fit for enterprises that need one platform for large-scale data processing, advanced analytics, and AI — without locking data into proprietary formats.

How clients benefit

Reliable pipelines, faster path from data to production AI, and a unified, governed layer spanning CDP, CRM, ERP, and operational data — delivered by Databricks-certified engineers who know the platform end to end.

Lakehouse services

What We Deliver

End-to-end Databricks delivery — from data and AI strategy through to lakehouse build, pipeline engineering, ML deployment, and ongoing managed optimisation.

Data & AI strategy

Current-state assessment, lakehouse architecture design, and a prioritised roadmap aligned to your analytics and AI ambitions.

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Lakehouse implementation

Delta Lake setup, medallion architecture, and Unity Catalog governance to build a reliable, governed single source of truth.

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Data engineering & pipelines

Spark-based ETL/ELT, Delta Live Tables, and streaming pipelines that turn raw sources into curated, query-ready data.

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Machine learning & AI

Feature engineering, model training and tracking with MLflow, and production deployment — including GenAI on Mosaic AI.

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Governance & security

Unity Catalog access controls, lineage, and data quality so sensitive data stays protected and compliant across workspaces.

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Managed optimisation

Cluster sizing, cost monitoring, job tuning, and ongoing support to keep workloads fast and spend predictable as you scale.

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Use Cases

Common Lakehouse Scenarios

We've built Databricks solutions across the data sources and workloads that drive modern enterprises.

Lakehouse foundationDelta Lake · medallion
Customer 360 / CDP feedUnified profiles · segmentation
ERP & finance analyticsJDE · NetSuite · SAP
ML & predictive modelsMLflow · feature store
GenAI & LLM appsMosaic AI · RAG
Demand & inventory analyticsForecasting · planning
Streaming dataReal-time · Delta Live Tables
BI & dashboardsDatabricks SQL · Power BI
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Get In Touch

Engage our Databricks practice

Share your objectives and we'll align you with the right senior consultant to scope an architecture advisory, solution assessment, or platform strategy workshop.

  • Architecture Advisory & Solution Assessment
  • Databricks-certified solution architects
  • Executive Consultation & Platform Strategy Workshop
  • Led by Senior Certified Practitioners