AI-Ready Data Architect for Healthcare & Life Sciences

Amazon; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Amazon Web Services (AWS) ProServe is seeking a Delivery Consultant specializing in Data for the Healthcare and Life Sciences practice in Zurich. You will design and implement modern data platforms, datasets, and governance to enable AI-ready environments.

You will work hands-on with data lineage, regulatory overlays (GxP, HIPAA, CDISC), and enterprise-scale data products to support ML model training and agentic AI orchestration.

Qualifikationen

• 5+ years of experience in data engineering, architecture, and/or data platform development with production pipelines.
• Bachelor's degree in Computer Science, Engineering, Data Science or equivalent experience.
• Experience with modern data platform design patterns (lakes, lakehouses, data mesh, zero-ETL, streaming).
• Experience architecting ontologies and knowledge graphs in enterprise environments.

Aufgaben

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures.
• Build data products serving multiple downstream applications, including AI/ML workflows.
• Operate autonomously within delivery engagements, guiding data modeling and architecture.
• Navigate data access, security, and privacy requirements, including HIPAA/GxP where applicable.
• Architect knowledge layers with ontologies and knowledge graphs to support AI agents.
• Collaborate across teams to access data and resolve quality challenges.
• Deliver iteratively, translating business needs into scalable data solutions.
• Apply AI-DLC methodologies to redesign data workflows for AI-native deployment.

Kenntnisse

Data engineering

Data architecture

Data pipelines

Ontologies & knowledge graphs

Ausbildung

Bachelor's degree in CS/Engineering/Data Science

Tools

SageMaker Lakehouse

SageMaker Unified Studio

AWS data services

Jobbeschreibung

Amazon Web Services (AWS) ProServe is seeking a Delivery Consultant specializing in Data for the Healthcare and Life Sciences practice in Zurich. You will design and implement modern data platforms, datasets, and governance to enable AI-ready environments.

You will work hands-on with data lineage, regulatory overlays (GxP, HIPAA, CDISC), and enterprise-scale data products to support ML model training and agentic AI orchestration.