Job description
Location: Zurich, Basel, Geneva Work Pattern Percentage: 80-100% You bring ambition, we provide opportunities Help our clients navigate the future with confidence and embrace decision making with clear data-driven choices Deloitte AI & Data helps clients unlock the power of AI and data to deliver better human-centric solutions that catalyse growth and efficiencies. We enable them to leverage data, analytics, modern platforms, and data science & AI technologies to uncover hidden relationships from vast troves of data, generate insights, and inform their decision-making. We help clients transform their business by designing and implementing data solutions to excel in their markets. Our role is to understand their business problems and use data-driven thinking and technology to achieve outcomes that drive their business forward. For this role, we are currently offering start dates from October 2025. How you can make an impact As a Data Architect in our AI & Data team, you will help senior people at our clients to make the right architectural choices and lead the design and implementation of innovative enterprise-wide solutions. Your will be able to make significant impact in the following areas:
1. 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.
2. 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.
3. 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.
4. Strengthen our market positioning and opportunities funnel: lead our architecture footprint in the market through events, conferences, and discussions with our key clients, internal teams, and alliance partners.
5. Develop our 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.
What We Are Looking For:
6. Experience:
7. 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
8. 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
9. 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
10. You have experience across a range of database types, including structured (relational), semi-structured (NoSQL), and graph-based (knowledge graph) models.
11. Nice to have: you have experience in packaging data platform solutions into Infrastructure as Code using solutions such as Terraform
12. Drive and Motivation:
13. Focused individuals looking to grow their careers on the path of becoming Senior Data Architect within AI & Data consulting
14. Keen interest and ability to stay on top of technology and architectural trends
15. Ability to manage multiple activities in a high-paced environment and context switch without losing focus or big picture
16. Leadership, commercial acumen, and communication skills:
17. Strong client-facing presence and ability to connect with different senior stakeholders, build relationships, and assess, expand and convert opportunities into projects
18. Strong abstract reasoning skills to grasp enterprise level, solution level, and operational concepts and how they link together to form a solution
19. Strong communications skills both oral and written and ability to clearly articulate point of view and resonate with technical and business stakeholders
20. Strong team leadership skills with ability to partner with externals, estimate and plan the work, and coach team members to deliver optimal client outcomes
21. Technical Expertise:
22. Strong skills in modelling methods with experience or certifications from DAMA, TOGAF or equivalent:
23. Conceptual, logical, and physical data models
24. Dimensional modelling
25. Data Vault
26. Design of normalized and denormalized schemas for analytical and operational workloads and understanding of modelling toolkit
27. Hands-on experience in designing and implementing solutions on major cloud platforms:
28. Amazone Web Services (AWS)
29. Google Cloud Platform (GCP)
30. Azure
31. Expertise in architecting modern data platforms (Lakehouse, Medallion, Lambda, event-driven) in Snowflake and/or Databricks, or equivalent
32. Design E2E architectures that balance performance, cost, and maintainability
33. Estimate implementation effort and lead delivery teams
34. Create architecture blueprints and solution design documents
35. Use of GenAI capabilities to optimize delivery and operation
36. Data Integration & ETL
37. Design integration layer architecture from multiple sources (ERP, CRM, operational databases, APIs, files)
38. Nice to have: Familiarity with ETL/ELT such as Informatica or DBT
39. Metadata and event-driven architecture:
40. Expertise in metadata and event-driven architecture with the ability to articulate best practices for capturing metadata within a data pipeline
41. Ability to leverage metadata to develop event-driven logic within the pipeline for monitoring and alerts
42. Enterprise Architectures with strong focus of integrating MDM solutions with data platforms and extending data platform with AI Platform components
43. Programming frameworks and data formats:
44. Ability to review engineering work done in SQL, Python, Spark
45. Familiarity with relational and NoSQL databases, knowledge graphs, and big data file formats (Parquet, Iceberg)
46. Language Proficiency:
47. Fluent in English; fluency in German and/or French is highly preferred
Your team Become part of a diverse and multinational team of 60+ highly motivated individuals located in our Zurich, Geneva, or Basel offices. We specialise in AI & data – how to structure it, how to source it, how to transform it, how to store it, and how to consume it. Join our fast-paced and fun team, working alongside highly talented colleagues on varied and exciting projects, with access to excellent and continuous learning opportunities. Deloitte AI & Data is the leading data & analytics consulting team in Switzerland. You will have a chance to work with outstanding colleagues and have access to variety of clients, vendors, and technologies. Our business is growing fast and there are plenty market opportunities to develop career in the direction that you want. We will help you grow both personally and professionally: through our trainings, mentoring programmes, and on-the-job learning, but also by working with clients and vendors across different industries.