Were looking for a Data Architect to sit at the intersection of data engineering, ML systems, and platform architecture. This role is about designing the foundations that enable AI-native, low-latency experiences at scale – safely, reliably, and pragmatically.
Youll own architectural patterns, standards, and guardrails across the data platform, and work closely with Product, ML, and Platform teams to turn ambitious goals into resilient, measurable systems.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy designing systems that power AI and data products at scale
You care about clean architecture, clear contracts, and long-term platform health
Youre comfortable leading by influence across multiple teams
You balance modern, cutting-edge tech with pragmatic, fit-for-purpose decisions
You like getting hands-on when needed.
Youll own architectural patterns, standards, and guardrails across the data platform, and work closely with Product, ML, and Platform teams to turn ambitious goals into resilient, measurable systems.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy designing systems that power AI and data products at scale
You care about clean architecture, clear contracts, and long-term platform health
Youre comfortable leading by influence across multiple teams
You balance modern, cutting-edge tech with pragmatic, fit-for-purpose decisions
You like getting hands-on when needed.
Requirements:
5+ years as a Software / Data / Solution Architect in data-heavy or AI-intensive environments
Strong background in distributed systems and event-driven architectures
Deep experience with modern data platforms (batch, streaming, lakehouse, CDC)
Hands-on experience with AI systems (LLMs, embeddings, vector search, RAG)
Practical experience with cloud-native stacks and infrastructure as code
Strong communication skills and ability to set standards across teams
Nice to have:
Experience with MLOps/AIOps, serving or fine-tuning LLMs, open-source contributions, or public technical writing/speaking.
5+ years as a Software / Data / Solution Architect in data-heavy or AI-intensive environments
Strong background in distributed systems and event-driven architectures
Deep experience with modern data platforms (batch, streaming, lakehouse, CDC)
Hands-on experience with AI systems (LLMs, embeddings, vector search, RAG)
Practical experience with cloud-native stacks and infrastructure as code
Strong communication skills and ability to set standards across teams
Nice to have:
Experience with MLOps/AIOps, serving or fine-tuning LLMs, open-source contributions, or public technical writing/speaking.
This position is open to all candidates.
