Someone to define data architecture for some of our clients. We don't know exactly what's the perfect role name for this, so we prefer to explain what we need from you, so you can pick the right name just in case you don't like the one we've chosen.
Here you have our company principles.
On a daily basis, you will be working with customers. You might be helping a new customer get started with Tinybird and guiding them on the best way to integrate Tinybird into his data stack. Or, you could be working on optimizing a use case for one of our most experienced clients. Many of our customers ingest billions of rows in real time and need to use that same data to make decisions in the same moment—for example, detecting fraudulent transactions or deciding what to offer someone based on their history and current browsing.
Here, you'll always have the opportunity to work with different types of clients and at various scales of data.
You’ll also collaborate with other teams. You might work with the product team to figure out the most effective way to solve a problem or ensure they understand what our customers are demanding. Or you might work with the sales-engineering team to hand over a customer or understand how you can help in a PoC.
If you enjoy challenges, are a constant learner, and like sharing your knowledge and helping others, then this is for you—apply now.
The interview process will include a first contact to introduce ourselves and get to know you, followed by a call with the hiring manager as well as calls with two of our co-founders. As a final step, we will ask you to complete a short technical exercise and presentation.
We value your time so we try to simplify the process as much as possible. Every candidate will get an answer and we get in touch to let you know where you are in the process.
About Tinybird
Tinybird is the data platform that helps data engineering teams address complex real-time, operational, and user-facing analytics challenges at any scale. It simplifies the process of importing data from various sources, allowing you to use SQL for data manipulation—such as filtering, aggregating, and joining—and then publish the results as low-latency, high-concurrency RESTful API endpoints or as sinks into downstream systems.
Loved by developers.
Trusted by data teams.
Spain
Marqués de Riscal 9 - 1º D
28010 Madrid
USA
41 East 11th Street 11th floor
New York, NY 10003
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