How I became a Databricks Partner Champion, and how you can

The Solutions Architect Champion badge from the Databricks Partner Program

You cannot study your way into this one. There is no voucher, no test center, no pass mark. The Databricks Partner Champion credential is invitation-only, and it is issued after a panel of Databricks Solutions Architects has looked at your projects and decided you could sit in front of their customers without embarrassing anyone.

Mine came through on 21 August 2026, after fifteen years in data, five of them running Databricks in production, and about eight months of working toward this specific badge. When I started I went looking for someone who had recently been through it and written it down. I did not find much. So this is that, written while I still remember the annoying parts.

Three things mattered in my case: the Databricks projects I could talk about in real depth, the record of community work I could point at, and the certifications. In that order. The certifications were the smallest of the three, which was not what I expected when I started.

Databricks projects, in depth

Decisions and their consequences, before-and-after architecture, numbers the panel could argue with. One presented in real depth, the rest as short summaries.

Carried the panel

A community record

Visible to the panel without any explaining. The slowest of the three to build.

Start the same month you start studying

Certifications

One Professional, plus the Generative AI Engineer Associate as the second. Anything beyond that changes nothing.

Smallest of the three

Ordered by how much each carried for me, not by how much effort each took. The order surprised me: the certifications are the part everyone starts with and the part that decided least.

What it is

The Champion program is not an exam. You are nominated, you complete a set of requirements, and then the Databricks Partner Solutions Architect team verifies your Databricks projects and confirms you have finished the journey. Databricks talks about Champions as an extension of its own Solutions Architect team, and that is a fair description of the bar: would a Databricks SA be comfortable putting you in front of a customer?

01
Partner check

Your employer is a registered Databricks partner.
Read the section
02
Prerequisites

Two Fundamentals badges and a live customer engagement.
Read the section
03
Certifications

Two certifications, at least one Professional.
Read the section
04
Nomination

Your CoE lead or a Champion emails your PSA.
Read the section
05
PSAE

Your PSA enrolls you, once the certifications are done.
Read the section
06
Readiness review

Your PSA reads the deck and says what is thin.
Read the section
07
Panel

An hour with Databricks Solutions Architects.
Read the section
08
Champion

A verifiable badge within a couple of days.
Read the section

The path to Champion

Step 1: check that your company is a partner, and find the right people

This is where most people get stuck before they start, because the program runs entirely through your employer.

You can only be nominated if your company is a registered Databricks consulting partner. The quick test: can you log in to the Databricks Partner Academy with your company email? If yes, you are in a partner organization. If not, the path does not exist for you yet, and the honest advice is to pick an employer where it does.

Then find two people. First, your company's Databricks CoE (Center of Excellence) lead or practice lead, whoever owns the Databricks relationship internally. Second, your company's assigned Partner Solutions Architect at Databricks, the PSA. The PSA is the person who runs your candidacy from nomination through to the panel. If nobody around you knows who that is, write to partners@databricks.com.

Step 2: the prerequisites

Before you are nominated you need active Databricks Fundamentals and Generative AI Fundamentals badges from the Partner Academy, and you need to be actively working on at least one Databricks customer implementation. If your company has an internal CoE and a sandbox environment, you are expected to be in both. And you need to be comfortable leading customer-facing presentations.

None of that is difficult. It is a filter for whether you are actually doing the work, not a test.

Step 3: certifications, ideally before you are nominated

The guide places the two certifications inside the journey, after nomination: two certifications, at least one of them at Professional level. I had both done before I was nominated, and I would do it that way again. The nomination email links your certifications, and a nominee who already holds a Professional is an easy yes for a busy PSA. It also means that once you are accepted, the only thing left on the learning side is PSAE, the Partner Solutions Architect Essentials course covered in Step 5.

My own order was Data Engineer Associate, then Data Engineer Professional, then Generative AI Engineer Associate. Then I was nominated, and PSAE followed.

One Professional certification is what counts. For the second one, my advice is the Generative AI Engineer Associate: it is where the platform, and every customer conversation, is heading. Beyond those two, more Associate badges change nothing. Partners can usually get exam vouchers through their company's Databricks training allocation using your work email, so ask your CoE lead how it works where you are before you pay for one yourself.

Step 4: nomination

The nomination itself is an email from your CoE lead, an existing Champion, a practice lead, or someone on the Databricks account team, sent to your PSA. It names the customer project you are on, links your accreditations and certifications, and includes a short bio. A LinkedIn profile usually covers the bio.

Two practical things I learned here that nobody told me:

Your Databricks certification profile must be linked to your company email. Mine was personal. The nomination could not proceed until I linked the personal profile to the organizational one. It took a day to fix and a week to discover, which is the worse half of that sentence.
Ask early, and keep asking. PSAs cover a lot of partners. A polite follow-up after a week of silence is normal and expected, and I needed more than one.

Step 5: PSAE

Once you are accepted, your PSA enrolls you in the Partner Solutions Architect Essentials course, PSAE: a short instructor-led course run over several half-days. You cannot enroll yourself, and enrollment waits until the certification requirement is met, which is the other reason to have the certifications done first.

Two experienced Databricks instructors ran ours, and it was not a slideshow. We built a project end to end using the current platform features, which is the fastest way I know to find the gaps in what you thought you knew. The most valuable part was not on the agenda: both instructors talked freely about what they had seen work and fail on real customer engagements, and that context is hard to get anywhere else.

Step 6: readiness review

Before the panel there is a readiness review of the deck you will present, which the next section is about. My PSA asked to see mine first. Treat that as help rather than another gate: it is where gaps get pointed out while there is still time to fix them. If your company already has a Champion, do a mock panel with them too.

The business case

The deck you bring to the panel, which the program calls your business case, is the part people underestimate, and it is the part I would spend the most time on if I were starting again.

Build the whole thing backwards from what the panel actually covers. Mine went through:

My journey as a Data and AI professional
One or more Databricks projects: the business problem and the technical solution
An architecture review showing source and target, before and after
The biggest challenges and how I addressed them
The impact on the customer
The contribution I was most proud of, and what I learned
Why I believe in Lakehouse and Databricks, and how I convince a customer to adopt it
Which features excite me, including at least one current and one roadmap feature
My community contributions, inside and outside the CoE, and what I plan to do as a Champion

Two slides, not one. What was there before, and what is there now.

What I brought were Databricks projects. One was a flagship engagement presented in depth, a platform taken from proof of concept to a corporate data platform, and the rest were short backup summaries. A few things that I think made the difference:

Decisions, not features. Everyone on that call has built platforms. A feature list tells them nothing they could not read on the Databricks site. They want to know why you picked what you picked: why governance sat at the core from day one, why every domain got the same catalogs, groups, volumes, and pipelines provisioned as one unit, why merging a branch is the deployment.
Put numbers on the impact, in time and in cost. Hundreds of datasets from dozens of vendors in one governed home, a daily processing window measured in minutes rather than hours, production deployments with a full audit trail and no manual step. Without numbers it just sounds like a nice project. With numbers they have something to argue with, and they did.
Before and after, on two separate slides. What was there before, what is there now. They look for it.
Say what you got wrong. I put up a slide on what I would do differently, including where the native platform services have since caught up with things we had to build ourselves. Panelists are practitioners and they have all shipped something they would now delete.
Proof over pitch. When they asked how I convince a customer, I did not have a slide for it. I told them how it actually went: start from their pain, show governed self-service on their own data, and let the product do the arguing.

Sanitize everything that leaves your company. Client names, sector descriptions specific enough to identify one organization, internal product names, anything confidential. The panel does not need any of it, and your PSA will thank you.

Step 7: the panel

The panel itself ran about an hour. After introductions you get the floor: your deck, your experience, the project, your contributions. Then the questions. They are not pre-defined. They follow wherever your presentation took the conversation, which means you cannot rehearse answers to them. Mine were about the reference architecture, the data sources, and the Databricks features we used and why. It is a conversation between architects, and nobody is trying to catch you out, but the only preparation that works is knowing your own project in more depth than the slides show.

If you are not ready on the first attempt, as I understand it you get feedback and a second panel. I passed first time so I cannot tell you how that plays out in practice, but it does mean the realistic downside of trying is finding out where you are weak.

Community contributions

This one is not a step. It runs underneath the whole path, and it is the part I think separates people.

Not expected, but recommended, which is exactly why it separates people, and it can be internal or external: partner TechTalks, CoE activities, writing about Databricks, lunch-and-learns, internal workshops, answering questions on the Databricks Community platform.

It is the slowest thing to build and the easiest to neglect, which is exactly why it counts for so much. Internal contributions count. External ones have the advantage that the panel can see them without you explaining anything, and they keep paying off long after the panel is over.

If you are starting from zero, start now, not when your PSA asks. One decent post a month for a year is plenty. Ten posts in the week before the panel fools nobody, and it looks exactly like what it is.

After the badge

Within days you get a verifiable badge, an invitation to the Partner Champions VIP Club, and a place on the Champions mailing list. The benefits that matter to me are the relationships: direct access to Databricks Partner Solutions Architects, and introductions to the account teams for the customers I work with.

There are expectations in return, and I think they are the right ones. Support deals and Databricks use cases in your company. Recruit and mentor the next Champions. Keep your PSA informed about the projects you are on. Stay active in the Champions community. Databricks expects continued engagement to maintain the status, and a Champion who collects the badge and disappears has rather missed the point.

The checklist

Confirm your company is a Databricks partner: can you log in to the Partner Academy with your company email?
Find your CoE lead and your assigned Databricks PSA, or write to partners@databricks.com.
Earn the two Fundamentals badges, and make sure you are on at least one live Databricks customer engagement.
Two certifications: one Professional, and for the second my advice is the Generative AI Engineer Associate. Have them done before you ask to be nominated.
Link your certification profile to your company email, then get nominated: your CoE lead, an existing Champion, a practice lead, or the account team emails the PSA with your project, credential links and bio.
PSAE, enrolled by your PSA once you are accepted.
Start community contributions the same month you start studying.
Build the deck backwards from what the panel covers: decisions, before-and-after architecture, quantified impact, one current and one roadmap feature, and an honest account of what you would change.
Do the readiness review and a mock panel properly.
Pass the panel, then show up: deals, mentoring, community. The badge is where the work starts.

If you are on this path and want a second pair of eyes on your deck or your plan, message me. Paying it forward is literally in the job description.

Databricks projects, in depth

A community record

Certifications

What it is

Partner check

Prerequisites

Certifications

Nomination

PSAE

Readiness review

Panel

Champion

Step 1: check that your company is a partner, and find the right people

Step 2: the prerequisites

Step 3: certifications, ideally before you are nominated

Step 4: nomination

Step 5: PSAE

Step 6: readiness review

Step 7: the panel

After the badge

The checklist

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