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HiBob

Software Architect - Data Platform

Posted Updated
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About Us
HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we’ve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~5500 midsize and multinational companies and over 1.5 Milion users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.

About The Role
HiBob is building a scalable data platform that powers our product, analytics, and AI capabilities. We’re looking for an Architect to shape the technical direction of the Data Platform group - helping teams make high-quality architectural decisions faster and turning complex, cross-cutting challenges into clear, pragmatic paths forward.
Reporting to the Data Platform Group Director and working alongside Team Leads, you’ll be the group’s senior individual-contributor architect. You will guide architecture across our Data Infrastructure, Data Engine, and Data Framework teams, with particular emphasis on data-intensive application architecture.
You’ll stay close to technical design, delivery, and production - not only to define direction, but to 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.

Skills

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See also

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