Senior Data & AI Platform Architect — Remote & Growth

Zühlke Engineering AG; Schlieren; Hybrid; CHF 160,000 - 210,000; Full time

Benefits offered by this job

Work life blend

Profit share scheme

Global & Diverse Zühlke community

Talent development and training

Job summary

Zühlke Engineering AG is seeking a Lead Data & AI Architect to design and implement advanced data and AI platforms for production environments. You will guide data engineering, ML operations, and governance, shaping client solutions across on-premises and cloud deployments.

The role combines strategic leadership with hands-on engineering and pre-sales influence. We value deep expertise in data platforms, GenAI tooling, and DevOps practices, and offer flexible work options including home-based

Qualifications

• Expertise in architecting data and AI platforms for production.
• Strong understanding of data governance, security and observability.
• Proven ability to lead DevOps, DataOps and MLOps initiatives.

Responsibilities

• Design sophisticated data and AI architectures with your team.
• Lead data engineering and platform production readiness.
• Drive AI governance, security, and compliance across projects.
• Promote transparency, reproducibility, and measurable quality.
• Engage in pre-sales activities and shape service offerings.
• Mentor and develop junior colleagues.

Skills

AI architecture

Data platforms

Data governance

DevOps

DataOps

MLOps

Cloud - AWS

Cloud - Azure

Cloud - GCP

Data engineering

GenAI

Databricks

Fabric & Foundry

SageMaker

Snowflake

Vector stores

Agent frameworks

Python

Spark

Iceberg

Delta Lake

dbt

Kafka

Education

Computer Science degree

Mathematics degree

Tools

Databricks

Microsoft Fabric

Foundry

Amazon SageMaker

Snowflake

Kafka

Job description

Zühlke Engineering AG is seeking a Lead Data & AI Architect to design and implement advanced data and AI platforms for production environments. You will guide data engineering, ML operations, and governance, shaping client solutions across on-premises and cloud deployments.

The role combines strategic leadership with hands-on engineering and pre-sales influence. We value deep expertise in data platforms, GenAI tooling, and DevOps practices, and offer flexible work options including home-based