Senior experts in your team,within weeks.
Is your data team fully booked or missing a skill? A senior Azure, Databricks or Power BI expert joins it, usually within 2 to 4 weeks, and builds alongside your people. SolvX contracts the placement, covers holidays and peaks, and agrees a knowledge-transfer plan so the knowledge stays in your team.
- Usually within 2 to 4 weeks
- A senior Azure, Databricks or Power BI expert joins your team, without a long hiring process.
- Contracted and backed by SolvX
- SolvX contracts and bills the placement as a firm, and the whole team and a vetted freelancer pool cover holidays and peaks.
- Exit date agreed up front
- Every placement has a contractual knowledge-transfer plan, aiming for three internal people per critical component.
The problem
Your data team has no room for the roadmap
The data and AI roadmap has a date, but the team that has to deliver it is already fully booked. Hiring senior Azure and Databricks people takes longer than the roadmap can wait, and the knowledge of the platform sits with one or two people. Outside help fills the gap for a while, then leaves and takes what it learned with it.
Common symptoms
The team lacks the capacity, or the specific knowledge, to carry out the change on the roadmap
Senior Azure and Databricks roles take longer to fill than the roadmap allows
Only one or two people really understand how the platform works
What this costs you
Roadmap deadlines slip while the team deals with what is already on its plate
Every holiday, illness or resignation puts a critical component at risk
Consultants leave and take the knowledge with them, so the next one starts again
What every placement includes
Senior capacity now, knowledge that stays
Every placement rests on three agreements: how the expert is contracted, who covers when they are away, and how the knowledge reaches your own people before the agreed exit date.
Senior experts, contracted by SolvX
Focus
A senior Azure, Databricks or Power BI expert joins your team and builds, not only advises. SolvX contracts and bills the placement as a firm, also when the expert comes from our freelancer pool.
Key outputs
An hourly placement, a part-time data team or Day Packs, contracted and billed by SolvX.
Backed by the whole SolvX team
Focus
The expert does not work alone. The SolvX team stands behind them, and a vetted pool of senior freelancers covers holidays and peaks.
Key outputs
Holiday and peak cover from the SolvX team and the vetted freelancer pool.
Knowledge-transfer plan with an exit date
Focus
Before the start, the contract sets out how the knowledge passes to your own people and when the placement ends. Training and pairing aim for three internal people per critical component.
Key outputs
A contractual knowledge-transfer plan, a training and pairing programme, and an agreed exit date.
Capabilities
What we deliver
Senior expertise across your Azure data platform, from architecture and data extraction to Databricks and Power BI, delivered inside your own team.
Data architecture design
An architecture designed to fit your organisation and the systems you already run.
Azure Databricks implementation
Configuration and implementation of Azure Databricks, within your team's way of working.
Azure Function App development
Function Apps for the small services and integrations around your data platform.
Power BI dashboard design
Power BI dashboards designed and built together with your own BI team.
Data extraction
Python code, or similar, that extracts data from your source systems.
Knowledge transfer
A contractual plan for handing the knowledge to your own people, with an agreed exit date.
Where it creates value
Who benefits most
Practical value for the teams that carry the most complexity.
Heads of data and CIOs
Leaders who must deliver the data and AI roadmap with a team that is already fully booked.
- Senior capacity within weeks, without a long hiring round
- Placements contracted and billed by SolvX as a firm
- An exit date agreed before the start
Data engineering teams
Teams building on Azure Databricks who need an extra senior engineer for a period.
- Azure Databricks configured and implemented alongside your engineers
- Python extraction code for new source systems
- Azure Function Apps built and handed over to the team
BI and Power BI teams
Teams with more dashboard requests than people to build them.
- Power BI dashboards designed and built inside your team
- Your own report builders learn by pairing on real work
- Peaks in demand covered without permanent hires
Platform and architecture owners
Owners of a platform that only one or two people really understand.
- A data architecture designed to fit your organisation
- Platform knowledge spread over more of your own people
- Aiming for three internal people per critical component
Teams losing key people
Teams where a key person is leaving, or where consultants left and took the knowledge with them.
- Senior cover while you rebuild the team
- A written plan for handing knowledge to your own people
- Holiday and peak cover from the SolvX team and freelancer pool
Less relevant if...
Where a placement is not the right way to buy the work.
- You want to outsource a fixed scope for a fixed price
- You want the platform run and supported for you under an SLA
- There is no internal team to work with or hand the knowledge to
How it works
A practical delivery approach
Every engagement follows a clear path from diagnosis to delivery and handover.
Tell us what you need
You describe the gap: the platform, the role and how much time you need. Together we choose the form: an hourly placement, a part-time data team or Day Packs.
An agreed role and form of placement.Matching and introduction
We propose a senior expert from the SolvX team or our vetted freelancer pool and introduce them to you. The contract sets out the knowledge-transfer plan and the exit date.
An introduced expert, and a contract with a knowledge-transfer plan and exit date.Start in your team
The expert joins your team, usually within 2 to 4 weeks, and builds on your platform, on your priorities. The SolvX team backs them, and the freelancer pool covers holidays and peaks.
A senior expert at work in your team, with cover arranged.Transfer the knowledge
Through training and pairing on real work, the expert hands the knowledge to your own people, aiming for three internal people who can run each critical component.
Progress against the knowledge-transfer plan, component by component.Agreed exit
The placement ends on the exit date in the plan, with the knowledge in your team. If you want SolvX to support what it built after that, Managed Services offers this under an SLA or a subscription.
A planned end, and a clear choice about what comes next.
Proof & trust
Results that speak for themselves
Usually within 2 to 4 weeks
A senior Azure, Databricks or Power BI expert joins your team, without a long hiring process.
Contracted and backed by SolvX
SolvX contracts and bills the placement as a firm, and the whole team and a vetted freelancer pool cover holidays and peaks.
Exit date agreed up front
Every placement has a contractual knowledge-transfer plan, aiming for three internal people per critical component.
Example engagement
What it looks like when it works
How an engagement like this typically runs. An illustration, not a client result.
Context
Example: a large organisation with its own data team on Azure Databricks. The team is fully booked, and the data and AI roadmap has a date the board is counting on.
Challenge
Hiring a senior Databricks engineer would take longer than the roadmap allows, and only one person in the team really understands the platform.
Solution
A senior Databricks expert joins the team as an hourly placement and builds the next roadmap items alongside the internal engineers. The knowledge-transfer plan aims for three internal people who can run the platform by the agreed exit date.
What you get
Senior Databricks expert
A senior engineer building in the team, contracted and billed by SolvX.
Knowledge-transfer plan
A contractual plan setting out what is handed over, to whom, and when the placement ends.
Training and pairing
Pairing on real roadmap work, aiming for three internal people per critical component.
Context
Example: the BI team of a large organisation, with more Power BI requests than people to build them and clear peaks around reporting deadlines.
Solution
A part-time data team from SolvX takes on the data extraction from the new source and the Power BI dashboard design on agreed days, with cover from the SolvX team during holidays, and hands both over to the BI team under the knowledge-transfer plan.
What you get
Part-time data team
Senior Power BI and data extraction capacity on agreed days, billed by the hour.
Extraction code
Python code that pulls data from the new source system into the platform.
Power BI dashboards
Dashboards designed and built with the internal BI team, and handed over to them.
Frequently asked questions
Your questions, answered
Usually within 2 to 4 weeks. We propose a senior expert from the SolvX team or our vetted freelancer pool, and you meet them before they start.
Senior experts in Azure, Databricks and Power BI. That covers data architecture design, Azure Databricks implementation, Azure Function App development, Power BI dashboard design and data extraction in Python or similar languages. The expert also works with the source systems you already run, standard or custom-built, and builds the connector where no standard one exists.
On a time basis, not for a fixed scope. You choose an hourly placement, a part-time data team or Day Packs, and SolvX contracts and bills it as a firm. Our other packages are bought as fixed-price phases, under an SLA or as a subscription. The form and the rate are set out in the proposal.
No. SolvX contracts and bills every placement as a firm, also when the expert comes from our vetted freelancer pool. You have no separate contracts with individual freelancers.
A clear role and priorities, someone in your team the expert works with day to day, access to your platform and tools, and the internal people who will take over the knowledge. The knowledge-transfer plan only works if those people have time to pair and learn.
The whole SolvX team backs every placed expert, and a vetted pool of senior freelancers covers holidays and peaks, so the work does not depend on one person being available.
The expert works inside your team and on your own platform, so what they build is in your environment, not ours. The ownership terms are set out in the placement contract. The contractual knowledge-transfer plan, with training and pairing aiming for three internal people per critical component, keeps the knowledge with your people after the exit date.
When you want SolvX to deliver a fixed scope for a fixed price, a package with fixed-price phases fits better. When you want SolvX to run and support a solution it built for you, Managed Services under an SLA or a subscription is the better route. And without internal people to hand the knowledge to, a placement cannot end as planned.
Next step
Where do you want to start?
Pick the path that matches where you are today. Both begin with a conversation.
Need a senior expert in your team?
Tell us the role, the platform and when you need someone. We come back with a proposed expert, the form of placement and a knowledge-transfer plan with an exit date. Placements are bought on a time basis: an hourly placement, a part-time data team or Day Packs.
- Describe the role and the platform
- Choose an hourly placement, a part-time data team or Day Packs
- Agree the knowledge-transfer plan and exit date
No obligation. Typical response within 1 business day.
Start with an assessment
Not ready to commit to a pilot? A 2 to 4 week assessment maps your current state and identifies the highest-value starting point, with no obligation to proceed further.
- Map your current situation and pain points
- Identify 2 to 3 high-value improvement opportunities
- Get a recommended pilot scope and expected outcomes
No obligation. Typical response within 1 business day.
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