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Software Architect - Data Platform
HiBob · Israel
About The Role
Join HiBob, a rapidly growing HR platform that helps modern, mid-size businesses manage their people effectively. As a Software Architect for the Data Platform, you will shape the technical direction of the group, guide architecture across various teams, and ensure successful implementation. You should have extensive experience in data-intensive, distributed applications, a deep understanding of distributed systems, and hands-on experience designing application-facing data platforms.
- Shape the technical direction of the Data Platform group, helping teams make high-quality architectural decisions faster.
- Guide architecture across Data Infrastructure, Data Engine, and Data Framework teams, with particular emphasis on data-intensive application architecture.
- Stay close to technical design, delivery, and production to define direction and ensure it works in practice.
What you bring
- Extensive experience as a Software Architect, Principal Engineer, or Staff engineer in data-intensive, distributed applications.
- A proven ability to independently make sound technical decisions and solve complex, ambiguous problems across multiple teams and systems.
- Deep expertise in distributed systems, including the trade-offs among consistency, reliability, performance, scalability, and operability.
- Hands-on experience designing and evolving application-facing data platforms, APIs, frameworks, or query and data-access layers.
- Strong knowledge of technologies such as PostgreSQL, Kafka, Redis, Cloud Infrastructure, and complex data systems.
- Experience evolving complex production systems through migration, decomposition, or modernization - not only designing greenfield systems.
- A practical architecture mindset: able to balance long-term direction with delivery needs and make trade-offs explicit.
- Excellent written and verbal communication skills, particularly for architecture reviews, technical decision records, and cross-team alignment.
- Experience with sensitive data, security, privacy, permissions, or multi-tenant systems is a strong advantage.
- Experience enabling analytics, semantic data access, or AI-ready data platforms is a strong advantage.
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