We’re building Daivio — an AI-native data platform where users can interact with their data like they interact with AI.
We are tackling a hard problem:
Making large-scale data processing intuitive, fast, and intelligent.
This means solving serious distributed systems challenges .
The Role
We are looking for a world-class Data Architect / Engineer who has built and scaled real big data systems .
This is not about dashboards.
This is about designing the engine behind them .
You will define how data flows, scales, and performs inside Daivio.
What You’ll Do
* Architect and build large-scale data processing systems
* Design and optimize Apache Spark workloads (batch + streaming)
* Own the architecture for:
* transformation
* storage
* query layers
* Optimize for:
* throughput
* cost
* Design distributed systems that don’t fall apart at scale
* Work closely with AI/ML layers to enable intelligent data interaction
What We’re Looking For
We are looking for someone who:
* Has deep, hands‑on Apache Spark expertise (not just usage – internals matter)
* Understands distributed systems fundamentals (partitioning, shuffling, fault tolerance)
* Has built or scaled data platforms handling large datasets
* compute vs storage
* latency vs cost
* Thinks in systems, not tools
* Has strong opinions about data architecture patterns
* Can operate with high ownership and zero hand‑holding
Tech Stack (Current & Evolving)
* Apache Spark (core component)
* Distributed data processing (batch + streaming)
* Data lakes / lakehouse architectures
* Python / Scala
* Kubernetes‑based execution environments
Why This Role is Different
* You are not plugging into an existing system — you are defining it
* You will shape how AI interacts with data at scale
* You will solve non‑trivial distributed systems problems daily
* You will work directly with founders on core architecture
What We Offer
* Real technical influence
* The chance to build a category‑defining data platform
Who This Is NOT For
* People who only used Spark via notebooks
* People without production‑scale experience
* People who optimize for comfort over impact
How to Apply
Send:
* LinkedIn / CV
* Short note: What is the hardest data system you’ve built and why?
We’re building for scale from day one. If you’ve done it before, we want to talk.
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