Databricks
The Second Platform We Treat As First Class
Salesforce runs your customer operations. Databricks runs your data and AI estate. Most consultancies pick one and dabble in the other. We build on both, and we connect them properly.
Our data engineering pedigree comes from production, not partner brochures: our team operates claims-scale healthcare analytics platforms on open lakehouse formats, where a wrong number is a compliance event and pipelines run unattended for months. Databricks is where we apply that discipline for enterprises: one governed lakehouse for analytics, machine learning, and the agents that will increasingly sit on top of it.
- Lakehouse architecture and migration: Delta Lake, medallion design, and warehouse retirements planned around business continuity.
- Data engineering: batch and streaming pipelines with tests, lineage, and alerting, built to run without babysitting.
- Governance with Unity Catalog: access control, auditability, and PII handling designed in from day one, not retrofitted for the auditors.
- AI on Databricks: model training and serving, retrieval over governed data, and agent workloads with evaluation and cost control.
- Salesforce Data Cloud zero-copy integration: your lakehouse and your CRM sharing data without duplication, so agents and analytics read one truth.
Lakehouse Engineering
From scattered warehouses and CSV folklore to one governed platform your analysts, scientists, and agents all trust.
Governed By Design
Unity Catalog as the control plane: who sees what, where data came from, and proof for whoever asks later.
AI Where The Data Lives
Models and agents deployed next to governed data, with the evaluation and spend ceilings we apply to every AI system we ship.
Why Salesforce Plus Databricks
The enterprises winning with AI are converging on exactly this pair: the system of engagement and the system of intelligence, joined by zero-copy data sharing instead of brittle sync jobs. Because we hold both platforms to the same standard, you get one architecture and one accountable team, not two vendors pointing at each other.
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