A Databricks developer from Relevant takes on one lakehouse task at a time: a Spark job that misses its window, a DBU bill that keeps climbing or a Unity Catalog setup that keeps getting postponed. You agree on the result up front, and the developer works until it’s met.
For jobs that keep missing their window.
For bills that grow faster than the workloads behind them.
For several teams sharing one lakehouse.
For new sources and layers that got messy.
For models that need governed data.
We’ve already built ingestion that pulls from 8 source systems and handles millions of transactional records a day.
With 92% senior engineers on staff, catalog and compute decisions come from people who’ve made them before.
Claude models are available on Databricks through Mosaic AI Model Serving. When you build agents or retrieval on top of your Delta tables, five of our Claude Certified Architects can design that layer with your developer.
Work moves up to 50% faster with AI-assisted development, and it still passes senior review.
ISO 27001-certified processes, plus GDPR and HIPAA controls configured in Unity Catalog.
Cloud, runtime version, the job or area in question and what success looks like. Expect a reply within 24 hours.
A short technical call with the person who’d do the work, focused on your workspace.
The goal is written down as a number where possible, such as job runtime or monthly DBUs.
Changes ship with before-and-after measurements, code in your repo and notes your team can follow.
Most of the work falls into a few areas:
Every workload consumes DBUs on top of cloud compute. That means cluster setup and code quality show up directly on your bill.
A good Databricks developer looks at runtime and cost together. A job that finishes on time on an oversized all-purpose cluster still needs fixing.
Only when the challenge is event volume and streaming spread across tools like Kafka, Flink or Hadoop. In that case, you can hire big data engineers for the streaming side.
For work that lives inside Databricks, a Databricks developer is the closer match. Structured Streaming, Auto Loader and Delta Live Tables cover most streaming needs inside the platform, and a Databricks developer knows how they’re billed and governed.
Some projects need both. A big data engineer runs the Kafka side, and a Databricks developer owns what happens once events land in Delta tables.
It’s set by the task. What moves the price most:
Share the details when you contact us, and the quote will cover that specific work. If cost is part of the goal, include your current monthly DBU spend.
For a few jobs or tables, yes, a developer can handle it. They’ll rewrite the jobs in PySpark or Spark SQL, land the data in Delta tables and compare the output with what Hadoop produces before you switch.
Retiring a whole Hadoop or warehouse estate is different. It calls for workload scoring, parallel runs and a staged cutover, and Databricks migration services are built for that kind of program.
A practical way to start is to put one developer on the jobs that cost the most to keep on Hadoop. Once you’ve seen the results, decide on the full migration.
If ML training, streaming and unstructured data sit next to your BI, Databricks usually fits. It keeps data engineering, analytics and ML on the same Delta tables.
If SQL reporting is the main workload, a warehouse may be simpler to run, and you can hire Snowflake developers for that. Snowflake also has Snowpark and Cortex AI, and the line between the two platforms gets thinner every year.
If you’re already on one platform, switching rarely pays off by itself. It usually makes more sense to fix how you use the current one first.
Yes, they can. Through data engineering staff augmentation, the same developer joins your team and takes work from your backlog.
They keep everything they learned about your workspace during the task: the jobs, the catalog structure and where the DBUs go. That makes the switch faster than onboarding someone new.
You can start with the task, see how the developer works with your team, and then decide.
Pick one, and we’ll suggest an engineer profile and a first step.
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