Get Expert Support

Get the right Databricks expertise, exactly when you need it

Whether you need strategic guidance, an architecture review, hands-on delivery or help solving a production issue, Datapao gives you direct access to senior Databricks experts.
WE'VE SEEN THIS BEFORE.

Most data teams hit the same three walls

Most of the teams we work with aren't struggling because they lack ambition. They're struggling because the problems they're hitting require a very specific kind of expertise - Databricks-native, backed by production experience, available now. That's a hard combination to hire for. It's what we do.
Any of these sound familiar?
Platform not delivering
“Databricks is in place. The potential isn't unlocked yet.”
The platform is live but underperforming. Not scalable, not cost-efficient, or stuck short of the AI use cases it was supposed to enable.
Team at capacity
“We need to move fast and we don't have the people to do it.”
Strong internal team, missing deep Databricks expertise. The backlog grows. The delivery slows. Hiring the right people takes months you don't have.
Stuck after POC
“We built the PoC. We don’t know how to get it to production”
The experiment worked. The business case is there. But turning it into something that runs reliably is a different problem entirely.
How it works

The right Databricks expertise for every stage of your data and AI journey

Every engagement is designed around one principle: give your team the expertise it needs, exactly when it needs it. From strategy to delivery and optimization, we combine senior technical expertise with practical execution and knowledge transfer.

01

We match expertise to your challenge

Not every problem needs the same kind of support. Some teams need an architect to set the direction, while others need hands-on engineers to build, migrate, or fix what's already there. We bring in the right mix of skills based on your objectives, technology, and delivery stage."

Strategy & Advisory
Delivery
Architecture
Optimization
02

Every expert has built what they're advising

Our consultants are Databricks practitioners who have designed, built and operated production platforms. They bring practical experience, not theoretical recommendations.

Databricks-native
Certified only
Production experience
03

Every engagement leaves your team stronger.

Whether we're advising, delivering or optimizing, knowledge transfer is built into every engagement. The goal is to give your team the confidence to own what's next.

Knowledge transfer
Team enablement
Long-term capability
What we deliver

The right type of support depends on your situation

Some teams need strategic direction before they can move. Some need an independent review of what's been built. Some need hands-on engineers who can deliver immediately. And some just need something fixed. Each service is designed for one of these situations.
01
Strategy & Advisory
You have ambitions for data and AI. You need someone to tell you what's actually feasible, in what order, and why.
We ground strategy in execution reality — use case prioritization, GenAI opportunity mapping, Databricks adoption planning. No theoretical frameworks. Every recommendation is tied to how it will be built.
03
Architecture Design & Review
Your data architecture needs to work for today's challenges and tomorrow's ambitions. We help you make the right technical decisions from the start.
We design and review Databricks architectures built for performance, scalability, and governance. From lakehouse foundations to data pipelines and AI-ready infrastructure, we identify risks, challenge assumptions, and make sure every component serves a clear purpose.
02
Embedded Delivery Expertise
You have the vision and the team. Sometimes you need extra expertise to move faster, solve harder problems, and get things done right.
Our Databricks experts work alongside your people, bringing hands-on engineering experience directly into your projects. We help build solutions, overcome technical challenges, and transfer knowledge along the way. Real delivery support that strengthens your team's capabilities.
04
Optimization & Troubleshooting
Your platform is running, but is it running as well as it should? We find what's slowing you down, driving up costs, or holding back performance.
We investigate performance bottlenecks, inefficient workloads, and unnecessary Databricks spending. From query tuning and pipeline optimization to compute configuration and cost management, we identify the root causes and implement improvements that make a measurable difference.
THE ENGAGEMENT

Fast to start. Built to last.

Every Expert Support engagement starts the same way: a focused conversation, a matched expert, and a first week that already moves things forward. The pace after that depends on your challenge.
01
Scope
A focused technical conversation, not a generic intake form. We assess your current state, team, and challenge to define what success looks like and who we need to put in front of it.
01
Match
We select the right expert for your stack, domain, and delivery context, at the level of seniority the work requires. You meet them before they start.
01
Embed
They join your team and take part in your day-to-day rituals, contributing to real workstreams from the first week. No lengthy ramp-up.
01
Deliver
Knowledge transfer happens as the work gets done, on real problems with real stakes, not in a separate handover at the end.
01
Scale
Grow the team as the impact becomes clear, extend into new workstreams, or hand over to your team once they're ready to run things on their own. The engagement ends when it should, not when a contract runs out.
Customer Stories

Real projects. Measurable outcomes.

TechnoAlpin

From snow guns to smart systems: TechnoAlpin’s data transformation with Datapao

When we ski down a perfectly groomed slope in the early morning, we rarely think about the streams of data pulsing behind the scenes.
Timeline
Unified data platform live in under 12 weeks
Enablement
Internal team fully enabled to operate independently
Performance
60% reduction in pipeline processing time
Read the whole study
Manufacturing
Good to Know

Common questions before getting in touch.

Not sure what kind of support you need, how an engagement works, or whether we're the right fit? Here are a few things worth knowing.

What kind of Databricks challenges can you help us solve?

Anything from planning your Databricks strategy to fixing problems in an existing production environment. Our experts cover architecture design, platform migrations, data engineering, governance, AI and ML implementation, performance optimization, and troubleshooting. Whether you're starting from scratch or trying to get more out of what you've already built, we can help.

Do you provide hands-on engineering support or just strategic advice?

Both. Some engagements call for an experienced architect to review your platform and recommend the right approach. Others need engineers who can get into the code, build pipelines, solve performance issues, or deliver production-ready solutions. We match the support to the actual problem, not the other way around.

Can your experts work alongside our existing data team?

Absolutely. That's how most of our engagements work. Our consultants integrate into your existing workflows, tools, and delivery processes. They work directly with your engineers, architects, and stakeholders, bringing specialist expertise without disrupting the way your team operates.

How do you make sure our team can manage the platform after the engagement?

Knowledge transfer is part of the work, not an extra deliverable at the end. Our experts collaborate with your team, explain technical decisions, share best practices, and build internal capabilities throughout the engagement. We want your team to be able to operate, maintain, and develop the solutions independently, without relying on us forever.