Manager –AI Data Architect Zürich/Basel/Geneva

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.

You have 4 or more years of relevant professional experience in the role of a Data Architect and have led teams that designed and implemented complex cloud-based ecosystems You have engineering background and least one hands-on data platform end-to-end implementation experience as a data engineer in the past (AWS, Azure, Google Cloud, Databricks, Snowflake)You have experience working with evaluating and/or taking data architecture decisions, influencing strategic direction and convincing business and IT stakeholders You have experience in guiding data engineers with best practices in coding styles and coding quality and are familiar with industrial coding quality tools such as SonarQube as well as AI coding assistants integrated into IDE. Hands-on experience in designing and implementing solutions on major cloud platforms You have experience across a range of database types, including structured (relational), semi-structured (NoSQL), and graph-based (knowledge graph) models. Nice to have: you have experience in packaging data platform solutions into Infrastructure as Code using solutions such as Terraform, Familiarity with ETL/ELT such as Informatica or DBT, Ability to review engineering work done in SQL, , Spark Language Proficiency: Fluent in English; fluency in German and/or French is highly preferred

International work culture Good Work life balance Generous parental leave (16 weeks 100% salary, and 80% for an additional 10 weeks for mothers and 2 weeks paternity leave) Competitive compensation and social benefits