Senior Delivery Consultant – Data/ Migration, ProServe EMEA

Amazon Switzerland seeks a Senior Delivery Consultant in Zürich to design AI-ready data platforms for Healthcare and Life Sciences clients, focusing on modern data architecture and agentic AI integration.

This position sits within the AWS Professional Services Healthcare and Life Sciences practice. The primary objective is to help customers prepare for artificial intelligence by constructing robust data layers that support foundation models, generative AI applications, and agentic systems. The role involves close collaboration with client teams and partners to translate complex business needs into reliable, governed data solutions.

Responsibilities

• Architect and deploy modern data structures such as data lakes, lakehouses, and data meshes.
• Build pipelines that convert fragmented raw data into governed, AI-ready assets.
• Design enterprise Retrieval-Augmented Generation (RAG) systems, including vector stores, semantic ontologies, and knowledge graphs.
• Implement production-grade data products that support downstream uses like ML training and agentic orchestration.
• Navigate complex regulatory environments, ensuring compliance with GxP, HIPAA, and other healthcare data governance frameworks.
• Apply AI-accelerated Development Life Cycle (AI-DLC) methodologies to redesign workflows for AI-native efficiency.
• Operate autonomously within fast-paced engagements, making independent decisions on data modeling and architecture.
• Collaborate across organizational boundaries to resolve data access, security, and quality challenges.
• Deliver iterative solutions in ambiguous requirement scenarios, translating incomplete business needs into well-architected data designs.

Requirements

• At least five years of experience in data engineering, architecture, or platform development with a track record of shipping production pipelines.
• A Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
• Strong proficiency in modern data platform patterns, including zero-ETL approaches and streaming architectures.
• Demonstrated experience engineering ontologies and knowledge graphs within enterprise settings.

Nice to have

• AWS certifications in Data Analytics or Machine Learning Specialty.
• Background in the healthcare and life sciences sector, including familiarity with HIPAA, GxP, and clinical standards like OMOP, CDISC, or FHIR.
• Hands-on experience with distributed processing frameworks such as Apache Iceberg, Spark, Databricks, Snowflake, or Kafka.
• Experience designing semantic data layers or knowledge graphs that support AI/ML and agentic systems.
• Familiarity with data governance tools like AWS Glue Data Catalog, Collibra, or Alation, and experience with data lineage and least-privilege access patterns.
• Ability to collaborate with business and IT stakeholders to convey technical concepts clearly.
• Proficiency in AI-DLC methodologies, including prompt engineering, mob programming with AI, and validating AI-generated code for regulated environments.

What the company offers

• Flexible working arrangements to support work-life harmony.
• Access to extensive knowledge-sharing opportunities, mentorship, and career development resources.
• Inclusion in employee-led affinity groups that foster a diverse and supportive culture.

About the company

AWS is the world’s most comprehensive and broadly adopted cloud platform, known for pioneering cloud computing and continuous innovation. The company strives to be Earth’s Best Employer by raising performance bars and believes that a diverse workforce is central to its success. AWS encourages candidates with non-traditional paths to apply, valuing diverse experiences and maintaining a culture where curiosity and learning are inherent.

• AWS values diverse experiences and encourages candidates with non-traditional paths to apply.
• AWS is the world’s most comprehensive and broadly adopted cloud platform, pioneering cloud computing and innovating continuously.
• It is in AWS's nature to learn and be curious.
• AWS strives to become Earth’s Best Employer by continuously raising performance bars.
• Amazon believes passionately that employing a diverse workforce is central to success.