# Hire Databricks engineers > When the Databricks roadmap is stuck behind a requisition that's been open for months, we place engineers from our award-winning Databricks engineering team inside your team, working in your workspace and your repository. Eighty of them hold Databricks certifications, with fifteen years of production experience on average. Hire one engineer for a roadmap your team already owns, or a working team with a lead who owns the outcome. For: Engineering and data leaders who need Databricks capacity quickly Canonical: https://www.techfabric.com/databricks/hire-engineers --- ## Where can I hire an experienced Databricks expert? From TechFabric, a Databricks partner in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Eighty of our engineers are Databricks-certified, and you can hire one onto a roadmap your team owns or a team with its own lead. The first call is about the work rather than a resume, meaning what the engineer would own, whose review their pull requests go through, and whether one person or a team fits. Our engineers moved Location Services off Synapse and SQL Server onto Databricks and TotalLoop onto Lakebase, and those are the studies to ask us about. Hire Databricks engineers, one at a time or as a team that has shipped together The usual version of this is a resume, a rate card and a manager who has never seen your codebase, which leaves you briefing every new person and stitching their work into everyone else's. Our engineers have worked inside the Databricks estate we run our own business on, so they arrive knowing the platform, and when the work needs four people who already share a way of working, they come as a team. ## What you get - Databricks-certified engineers, from a bench of eighty, matched to the actual workload - They work in your workspace, your repository and your process, under your roadmap - Individual engineers on your roadmap, under your own lead, when that is the shape of the work - A lead who owns delivery when you hire a team, so you are not the integration layer - Product and design available in the same team where the work needs them - Scale down as your own team takes over, which is the point rather than a concession - Everything they build is yours, including the decisions written down ## Clients we have done this for - [Auto Approve](https://www.techfabric.com/case-studies/auto-approve) (Automotive / Fintech): Auto Approve's loan agents were copying every refinance request by hand between the CRM, lender sites and Excel, a process that took two to three days. Our senior engineers worked hand in glove with Auto Approve's own IT staff to build the approval engine that automates it, and the company doubled the loans it processes each month without hiring more agents. - [Athlinks](https://www.techfabric.com/case-studies/unlocking-big-data-projects-with-temporal-orchestration) (Health & Wellness): Athlinks had more than 400 million athlete records from sources that never agreed on who an athlete was, and a matching run that died halfway through couldn't just start again. Our engineers took the project from prototype to production as a serverless pipeline on AWS with Temporal holding the state. Failed steps now retry on their own, failures reach Slack as they happen, and the matching rules are tuned for each tier. ## Questions ### Should we hire a Databricks freelancer or go through a Databricks partner? A freelancer suits a well-defined task your own team can review. When the work touches Unity Catalog grants, a migration or anything your auditors will read, a partner gives you cover when one person is away, engineers who have seen several estates, and a lead who owns the outcome if you want one. TechFabric is a Databricks partner and offers both shapes, one engineer on your roadmap under your lead, or a team that has shipped together. ### Can we hire Databricks developers from TechFabric? Yes, one at a time or as a team. Eighty of our engineers hold Databricks certifications and they work embedded in your team, in your workspace. An individual engineer joins the roadmap your team owns, under your lead. A team arrives with a lead of its own who owns the outcome. The first call is about which of those the work needs. ### Is this staff augmentation? It can be. If you need a Databricks engineer by the hour on work your team already owns, that is a normal engagement here and we price it as one. If you want an outcome rather than hours, we field a team that has shipped together, with somebody accountable for what it delivers. Both are available, and we will tell you which one fits before you sign anything. ### How quickly can engineers start? It depends on the shape of the work and what is on the bench that week, and anyone promising a date before hearing the requirement is telling you about their utilisation rather than your project. The honest first step is a short conversation about what the work actually is. ### What does a Databricks certification actually prove? The floor, and not much more. It says an engineer knows the platform's surfaces. What decides whether the thing still works in month six is production experience, which averages fifteen years across our team. We lead with the count because buyers ask for it, not because it is the most useful number. ### Can they work in our own Databricks workspace? That is the normal arrangement. Working in your workspace under your governance means nothing has to be handed back later, and it keeps Unity Catalog permissions doing their job instead of being worked around for the duration of an engagement.