The independent Databricks Practitioner Index for the UK opens on 1 August 2026.
Until then, this is the window to help shape it. We are confirming practitioner details, publication consent, and final citations. Nominations are open — submit a name, or your own work, to be considered for the H1 Index.
Four tiers, one hundred names — when we go live.
Help us find the names that should be on the list.
We're not looking for self-promotion. We're looking for people whose work in real environments has produced evidence other people can see. Here is what counts as strong signal.
Production delivery you can point to
Live systems, real client outcomes, named programmes. Not pitch decks. Not pilots that never shipped.
Public technical contribution
Open-source commits, conference talks, technical writing, mentorship. Anything that compounds beyond a single project.
Specialist depth in a Databricks segment
Unity Catalog at scale, MLflow productionisation, FinOps on Databricks, RAG that actually works. Pick a thing — be the person.
Peer endorsement that isn't reciprocal
Other practitioners citing your work, recommending you for hard problems, asking you to teach them. Not LinkedIn endorsements.
A structured, consent-led process — currently mid-flight.
Lakehouse100 is an independent IntelStack initiative.
IntelStack is a Data and AI consultancy based in Canary Wharf, London. We created Lakehouse100 to recognise high-signal Databricks and Lakehouse practitioners in the UK, using a structured research and consent-led publication process.
Lakehouse100 is not sponsored by, endorsed by, affiliated with, or produced in partnership with Databricks. Databricks and related marks belong to their respective owners.