Technical / Software Architect - Real Estate Data Solutions

Design pragmatic and scalable architectures across backend services, cloud infrastructure, databases, APIs, and integration layers, using technologies such as .NET, Python, SQL, Kubernetes, and Docker. Act as a strong enabler for engineering teams by translating business needs into clear technical concepts, supporting implementation, and helping unblock delivery through hands-on problem solving. Support data models, platforms, pipelines, governance practices, data quality approaches, and integration patterns. Drive customer-focused innovation and support new ways of working in software development by identifying, evaluating, and responsibly integrating AI and GenAI capabilities. Act as a sparring partner for senior stakeholders and maintain architecture documentation, technical standards, decision records, and best practices for long-term maintainability.

IAZI is one of the market leaders in real estate valuation in Switzerland, with over 130 employees and offices in Zurich, Lausanne, as well as Goa and Kerala in India. For 25 years, IAZI has been providing professional services to the national and international real estate industry. The company supports property owners, investors, developers, and real estate financiers with targeted consulting, scientific analysis, and innovative software solutions.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.

• Minimum of 5 years of experience in software engineering, technical architecture, solution architecture, or a comparable role.

• Proven track record of working across complex systems and supporting teams through the full software delivery lifecycle.

• Fluency in German and English is required.

• Strong hands-on experience in software architecture, modern software engineering practices, and maintainable solution design.

• Broad knowledge of backend services, databases, APIs, integration patterns, cloud infrastructure, and DevOps practices.

• Hands-on experience with relevant technology stacks, particularly .NET, Python, SQL, Kubernetes, and Docker.

• Strong data background, including data modeling, data platforms, pipelines, governance, quality, and integration.

• Good understanding of security principles, observability, documentation, automated testing, CI/CD, and containerization.

• Experience with AI or GenAI is highly desirable, especially in identifying use cases, evaluating tools, integrating AI capabilities responsibly, and improving software development practices.

• Preferred: Experience in the financial services or real estate industry; familiarity with analytics platforms, and enterprise architecture frameworks. Certifications in cloud platforms, software architecture, or enterprise architecture are considered a strong asset.

• Strong customer focus, with the ability to drive innovation and translate customer and business needs into pragmatic technical solutions.

• Strong communication skills, with the ability to collaborate effectively across teams, departments, countries, and cultures.

• Ability to act as a trusted sparring partner for senior stakeholders and bring clarity to ambiguous technical topics.

• Pragmatic and delivery-oriented mindset, with a strong doing mentality and the ability to balance strategic architecture with hands-on problem solving.

• Curious, proactive, and keen to learn, with openness to new technologies, AI-enabled development practices, and new ways of working.