Senior Manager – Data Architect – Artificial Intelligence & Data

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.

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:

• 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, Dev Ops, 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 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.
• 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.

• Experience:
  • You have 4 or more years of relevant professional experience as a Data Architect and have led teams that designed and implemented complex cloud‑based ecosystems.
  • You have an engineering background and at least one hands‑on data platform end‑to‑end implementation experience as a data engineer (AWS, Azure, Google Cloud, Databricks, Snowflake).
  • You have experience evaluating and/or taking data‑architecture decisions, influencing strategic direction and convincing business and IT stakeholders.
  • You have experience guiding data engineers with best practices in coding styles and coding quality and are familiar with industrial coding quality tools such as Sonar Qube as well as AI coding assistants integrated into IDE.
  • You have experience across a range of database types, including structured (relational), semi‑structured (No
    
    SQL), and graph‑based (knowledge graph) models.
  • Nice to have: experience packaging data platform solutions into Infrastructure as Code using solutions such as Terraform.
• Drive and Motivation:
  • Focused individuals looking to grow their careers on the path of becoming Senior Data Architect within AI & Data consulting.
  • Keen interest and ability to stay on top of technology and architectural trends.
  • Ability to manage multiple activities in a high‑paced environment and context switch without losing focus or the big picture.
• Leadership, commercial acumen, and communication skills:
  • Strong client‑facing presence and ability to connect with different senior stakeholders, build relationships, and assess, expand and convert opportunities into projects.
  • Str…