Senior Delivery Consultant (Data)

TL;DR

Senior Delivery Consultant (Data): Designing and implementing modern data platforms and pipelines for Healthcare and Life Sciences clients to ensure they are AI-ready with an accent on RAG architectures, knowledge graphs, and regulatory compliance. Focus on building production-grade data products, automating data workflows via AI-DLC, and integrating legacy systems into governed data meshes.

Location: Must be based in Zurich or Geneva, Switzerland

Company

hirify.global Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, providing scalable infrastructure and AI transformation services to global enterprises.

What you will do

• Design and implement production-grade data lakes, lakehouses, and data mesh architectures within enterprise HCLS environments.
• Build data products supporting AI/ML model training and agentic AI systems, ensuring data quality, lineage, and reliability at scale.
• Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging hirify.global Bedrock.
• Navigate complex security and privacy requirements unique to pharma and healthcare, including GxP and HIPAA compliance.
• Collaborate with customer IT, business, and partner organizations to resolve data access and quality challenges.
• Apply AI-DLC methodologies to redesign data workflows to become AI-native for accelerated scale.

Requirements

• 5+ years of experience in data engineering, data architecture, and/or data platform development.
• Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience.
• Proficiency in modern data platform design patterns (data lakes, lakehouses, data mesh, zero-ETL) using AWS services.
• Hands-on experience architecting and engineering ontologies and knowledge graphs in enterprise environments.
• Must be based in or able to work from Zurich or Geneva, Switzerland.

Nice to have

• AWS certifications in Data Analytics or Machine Learning Specialty.
• Experience in healthcare and life sciences industry (HIPAA, GxP, OMOP, CDISC, FHIR).
• Experience with Apache Iceberg, Spark, Databricks, Snowflake, or Kafka.
• Proficiency in AI-DLC and prompt engineering as a development discipline.

Culture & Benefits

• Commitment to work-life harmony and flexibility within the working culture.
• Inclusive environment with employee-led affinity groups fostering diversity.
• Extensive mentorship and career-advancing resources to support professional growth.
• Opportunity to work at the forefront of cloud computing and AI transformation.