(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.

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:
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 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.

What We Are Looking For:
Experience:
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
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

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 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
Strong abstract reasoning skills to grasp enterprise level, solution level, and operational concepts and how they link together to form a solution
Strong communications skills both oral and written and ability to clearly articulate point of view and resonate with technical and business stakeholders
Strong team leadership skills with ability to partner with externals, estimate and plan the work, and coach team members to deliver optimal client outcomes

Technical Expertise:
Strong skills in modelling methods with experience or certifications from DAMA, TOGAF or equivalent:
Conceptual, logical, and physical data models
Dimensional modelling
Data Vault
Design of normalized and denormalized schemas for analytical and operational workloads and understanding of modelling toolkit
Hands-on experience in designing and implementing solutions on major cloud platforms:
Amazone Web Services (AWS)
Google Cloud Platform (GCP)
Azure
Expertise in architecting modern data platforms (Lakehouse, Medallion, Lambda, event-driven) in Snowflake and/or Databricks, or equivalent
Design E2E architectures that balance performance, cost, and maintainability
Estimate implementation effort and lead delivery teams
Create architecture blueprints and solution design documents
Use of GenAI capabilities to optimize delivery and operation
Data Integration & ETL
Design integration layer architecture from multiple sources (ERP, CRM, operational databases, APIs, files)
Nice to have: Familiarity with ETL/ELT such as Informatica or DBT
Metadata and event-driven architecture:
Expertise in metadata and event-driven architecture with the ability to articulate best practices for capturing metadata within a data pipeline
Ability to leverage metadata to develop event-driven logic within the pipeline for monitoring and alerts
Enterprise Architectures with strong focus of integrating MDM solutions with data platforms and extending data platform with AI Platform components
Programming frameworks and data formats:
Ability to review engineering work done in SQL, Python, Spark
Familiarity with relational and NoSQL databases, knowledge graphs, and big data file formats (Parquet, Iceberg)

Language Proficiency:
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.

Careers at Deloitte. Choose your impact.

At Deloitte, your ideas create impact and spark meaningful change for our clients, people and society. Your unique expertise, background and perspective helps us find new ways into the most complex challenges so we can brighten the futures of those our work affects. At Deloitte, you can build a career that inspires and energises you. At Deloitte, you can choose your impact.

In Switzerland, we provide industry-specific services in the areas of Audit & Assurance, Tax & Legal, Strategy, Risk & Transactions Advisory, and Technology & Transformation. With close to 3,000 employees at six locations, we serve companies and organisations of all sizes in all industry sectors. We offer meaningful and challenging work, an inclusive and supportive environment where you can be your best self and where you will never stop growing. You will benefit from flexible and hybrid working conditions, wellbeing and parental programmes as well as many opportunities to connect, collaborate and learn.

Join us and become part of a global network of like-minded people dedicated to making a difference, whether by addressing climate change or improving 100 million futures by 2030. Want to know more about opportunities at Deloitte? Visit www.apply.deloitte.ch

How to apply 
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