Senior AI‑Ready Data Platform Delivery Lead

Amazon; Genf; Vor Ort; CHF 150.000 - 210.000; Vollzeit

Zusammenfassung

Amazon is seeking a Senior Delivery Consultant – Data to join ProServe in the Healthcare and Life Sciences practice in Geneva. You will design and implement modern data platforms, data pipelines, and knowledge graphs to enable AI-ready environments with regulatory compliance in mind.

You will work hands-on with data lineage, governance, and enterprise RAG architectures, collaborating across teams to deliver production-grade data products for ML and agentic AI applications in regulated settings.

Qualifikationen

• 5+ years of experience in data engineering, data architecture, and/or data platform development.
• Bachelor's degree in Computer Science, Engineering, Data Science, related field, or equivalent experience
• Proficiency in modern data platform design patterns, including data lakes, lakehouses, data mesh, and zero-ETL patterns and streaming architectures, using services such as Amazon SageMaker Lakehouse, SageMaker Unified Studio, Amazon S3 Tables, Amazon Redshift, and zero-ETL integrations.
• Experience with architecting and engineering ontologies and knowledge graphs in enterprise environments

Aufgaben

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise HCLS environments, integrating with legacy systems and existing data governance frameworks
• Build data products that serve multiple downstream applications and use cases — from AI/ML model training to agentic AI systems, ensuring data quality, lineage, and reliability at scale
• Operate with a high degree of autonomy within fast-moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications or constant oversight
• Navigate complex data access, security, and privacy requirements unique to pharma and healthcare including GxP compliance constraints, HIPAA, and regulatory data governance frameworks
• Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously within regulated environments
• Collaborate across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with teams across customer IT, business, and partner organizations
• Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions that can evolve as customer understanding matures
• Apply AI-DLC (AI-accelerated Development Life Cycle) methodologies to data delivery to redesign data workflows to become AI-native for accelerated scale and pace

Kenntnisse

Data engineering

Data architecture

Data platform development

Ontology & knowledge graphs

SageMaker / AWS data services

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Apache Iceberg

Spark

Databricks

Snowflake

Kafka

AWS Glue Data Catalog

Collibra

Alation

Jobbeschreibung

Amazon is seeking a Senior Delivery Consultant – Data to join ProServe in the Healthcare and Life Sciences practice in Geneva. You will design and implement modern data platforms, data pipelines, and knowledge graphs to enable AI-ready environments with regulatory compliance in mind.

You will work hands-on with data lineage, governance, and enterprise RAG architectures, collaborating across teams to deliver production-grade data products for ML and agentic AI applications in regulated settings.