Senior Data & GenAI Architect – Hybrid (Zurich/Lausanne)

Artefactlinkedin; Zürich; Hybrid; CHF 140,000 - 230,000; Full time

Benefits offered by this job

Growth path

Hybrid Zurich/Lausanne

Competitive compensation

Job summary

Artefact Zürich seeks a Senior Data & AI Architect who blends business strategy with technology across Data and GenAI. You will design the Data & GenAI CoE operating model, define the target architecture, and steer data products from demand through rollout.

In this hybrid role, you will shape cloud data platform choices (Azure/AWS/GCP) and Databricks, assess make-or-buy scenarios, and translate business needs into measurable data products with owners, SLAs, and value tracking.

Qualifications

• At least 4 years of professional IT experience.
• At least 2 years on AI/GenAI, Data Mesh and requirements gathering.
• Consulting experience, ideally in strategy consulting with SI/delivery firm.
• Hands-on experience designing operating models, Data/AI organisations or CoEs.
• Experience with make-or-buy analyses and vendor selection.
• Excellent written and spoken English.

Responsibilities

• Design the Data & AI operating model and CoE organisation.
• Define target data platform architecture on cloud and Databricks, including GenAI components.
• Run make-or-buy analyses and vendor selections with business case & costs.
• Gather and formalise functional requirements; translate into data products with owners, SLAs.
• Review SI solutions and oversee quality, progress and rollout risks.

Skills

Data Mesh

Governance

Vendor evaluation

Business cases

Requirements gathering

Agile methods

English proficiency

Tools

Databricks

Unity Catalog

OpenMetadata

Collibra

Cloud platforms (Azure/AWS/GCP)

Job description

Artefact Zürich seeks a Senior Data & AI Architect who blends business strategy with technology across Data and GenAI. You will design the Data & GenAI CoE operating model, define the target architecture, and steer data products from demand through rollout.

In this hybrid role, you will shape cloud data platform choices (Azure/AWS/GCP) and Databricks, assess make-or-buy scenarios, and translate business needs into measurable data products with owners, SLAs, and value tracking.