Location:Remote Company:Daivio Level:Staff / Principal / ArchitectAbout Us We're buildingDaivio— 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 solvingserious distributed systems challenges .The Role We are looking for aworld-class Data Architect / Engineerwho has built and scaledreal big data systems. This is not about dashboards. This is aboutdesigning the engine behind them. You will define how data flows, scales, and performs inside Daivio.What You'll Do Architect and buildlarge-scale data processing systems Design and optimize Apache Spark workloads (batch + streaming) Own the architecture for: data ingestion transformation storage query layers Build high-performance data pipelineshandling large volumes Optimize for: latency throughput cost Designdistributed systems that don't fall apart at scale Work closely with AI/ML layers to enable intelligent data interaction Make foundational architecture decisionsWhat We're Looking For We are looking for someone who: Hasdeep, hands-on Apache Spark expertise(not just usage – internals matter) Understandsdistributed systems fundamentals(partitioning, shuffling, fault tolerance) Has built or scaleddata platforms handling large datasets Knows trade-offs between: batch vs streaming 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-holdingTech Stack (Current & Evolving) Apache Spark (core component) Distributed data processing (batch + streaming) Data lakes / lakehouse architectures Python / Scala Cloud (Azure preferred) Kubernetes-based execution environmentsWhy This Role is Different You are not plugging into an existing system — you aredefining 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 architectureWhat We Offer High ownership, zero bureaucracy Real technical influence The chance to build acategory-defining data platformWho This Is NOT For People who only used Spark via notebooks People without production-scale experience People who optimize for comfort over impactHow 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.