Senior AI-Ready Data Platforms Delivery Architect

Amazon

Zürich

On-site

CHF 120,000 - 190,000

Full time

14 days+

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Job summary

Amazon is seeking a Senior Delivery Consultant focused on Data and Migration for ProServe EMEA. You will design and implement data platforms (lake, lakehouse, mesh), architect data pipelines, and develop enterprise RAG and knowledge graph architectures to enable AI-ready environments within regulated healthcare settings.

You will work hands-on in customer environments, balancing data governance, security, and regulatory overlays while delivering production-grade data products for ML training and

Qualifications

  • 5+ years of experience in data engineering, architecture, and/or data platform development.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • Proficiency with modern data platforms (lakes/lakehouses/data mesh/zero-ETL) and streaming architectures.
  • Experience with ontologies and knowledge graphs in enterprise environments.

Responsibilities

  • Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise HCLS environments.
  • 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.
  • Navigate complex data access, security, and privacy requirements unique to pharma and healthcare including GxP compliance constraints and HIPAA.
  • Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context and Bedrock Knowledge Bases.
  • Collaborate across organizational boundaries to secure data access and resolve data quality challenges.
  • Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions.
  • Apply AI-DLC methodologies to data delivery to redesign data workflows for AI-native scale.

Skills

Data engineering
Data architecture
Data platform development
Ontology knowledge graphs
Regulatory data governance

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

SageMaker Lakehouse
SageMaker Unified Studio
Amazon S3
Redshift
Apache Iceberg
Spark
Databricks
Snowflake

Job description

Amazon is seeking a Senior Delivery Consultant focused on Data and Migration for ProServe EMEA. You will design and implement data platforms (lake, lakehouse, mesh), architect data pipelines, and develop enterprise RAG and knowledge graph architectures to enable AI-ready environments within regulated healthcare settings.

You will work hands-on in customer environments, balancing data governance, security, and regulatory overlays while delivering production-grade data products for ML training and

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