Responsibilities

As a Data Architect in AI & Data team, you will help senior people at the clients to make the right architectural choices and lead the design and implementation of innovative enterprise-wide solutions.
Lead Enterprise Data Architecture design: help clients modernize complex system landscapes spanning multiple solutions (e.g., MDM, CRM, ERP, Cloud DWH) that need to be integrated. You will work with senior client stakeholders to design enterprise level architecture, pragmatic and enforceable architecture standards, and plan with them the modernization journey.
Lead Cloud Data Platform design & implementation: help clients build scalable, high-performance Cloud data platforms that meet the business needs. Your work will cover data modelling, data integration, transformation pipelines, DevOps, and use of AI to build and operate these platforms smartly. You will make key design decisions and lead onshore, near-offshore engineering teams developing the solution.
Architect Integrated Solutions: help clients design and build integrations required to run their business processes and deliver data products. This may include integration between Cloud data platform and AI/Gen AI platform or between MDM or CRM systems and Cloud data platform.
Strengthen the market positioning and opportunities funnel: lead a architecture footprint in the market through events, conferences, and discussions with the key clients, internal teams, and alliance partners. Develop a internal know-how and expertise: mentor junior team members within AI & Data and set strategic focus for expertise building within Switzerland and in relation to near- and offshore teams.