×
LakeFusion
AI-powered Master Data Management platform built natively on Databricks
Last verified August 15, 2026 · Updated daily
What LakeFusion is building
LakeFusion is not a new data product bolted onto Databricks. It is MDM rebuilt from scratch inside the lakehouse so data never has to leave. Enterprises point the platform at the tables they want to clean, and LakeFusion runs AI-driven entity resolution and deduplication to produce golden records: single, trusted, governed master records for customers, products, suppliers, patients, properties, or any other critical domain. The rules engine, the governance layer, the survivorship logic, and the real-time sync back to CRM and ERP all run natively inside Databricks, which means no ETL pipeline, no separate MDM infrastructure, and no data movement. Install it from the Azure or AWS Marketplace, point it at your tables, and go. The platform balances LLMs with a broader suite of matching and deduplication techniques to stay cost-effective at enterprise scale.
Why this matters
Enterprise AI is stalling not because models are bad but because the data underneath them is broken. A GPT-4-level model trained on a customer database with 40% duplicate records produces confident nonsense. MDM, the discipline of creating single authoritative records across systems, has been the unglamorous fix for this problem for thirty years. The legacy players, Informatica, Reltio, Semarchy, are architecturally designed for a pre-lakehouse world: expensive, slow to deploy, and built around moving data into a separate MDM system. That architecture made sense in 2005. It makes no sense in 2026, when most enterprise data already lives in Databricks. Silverton Partners GP Mike Dodd said it precisely in the announcement: "As enterprise AI moves into production, the bottleneck is no longer model capability, it's data fidelity." LakeFusion's moat is the Databricks-native architecture. No other MDM platform is built this way. The Databricks ISV Partnership and dual Marketplace listings validate the technical approach from the ecosystem itself.
Open roles at LakeFusion
11 positions we're tracking. Roles are re-checked daily and removed when filled.
Principal Backend Engineer
First seen 3 months ago
PIM Engineering Lead
First seen 3 months ago
Senior MDM Architect
First seen 3 months ago
Data Engineer
First seen 3 months ago
Integration Engineer
First seen 3 months ago
GCP & Platform Security Engineer
First seen 3 months ago
Full Stack Engineer
First seen 3 months ago
AI/ML Engineer
First seen 3 months ago
Level 2 Technical Support Engineer
First seen 3 months ago
Level 1 Customer Support Engineer
First seen 3 months ago
QA Engineer
First seen 3 months ago
Hiring outlook
Very High. Press release explicitly states the round will grow engineering and go-to-market teams. Nine remote roles live on the careers page today, all requiring direct email to careers@lakefusion.ai. No ATS bloat, no recruiter layer.
Working at LakeFusion
LakeFusion is AI-powered Master Data Management platform built natively on Databricks, founded in and now <50 people. At this stage, expect broad remit, direct access to founders, and equity that still means something if the company works out.
Austin is where most LakeFusion positions are located.
Frequently asked questions
How many jobs does LakeFusion have open?
We're tracking 11 active openings at LakeFusion (verified May 2026).
Does LakeFusion hire remotely?
Currently, LakeFusion only has in-office roles in Austin.
What roles is LakeFusion hiring for?
LakeFusion is hiring across Engineering, Other. The most recent opening is Principal Backend Engineer.
How do I apply for a job at LakeFusion?
Click through to apply, or see our detailed guide on landing a job at LakeFusion.
Where is LakeFusion based?
LakeFusion is headquartered in Austin, US.
Get LakeFusion roles before they're posted
Stay ahead of the AI job market. We track LakeFusion and similar companies daily.
Get early access →