Sr IT Architect
Core
Design and build scalable data engineering pipelines and feature stores for Generative AI and ML workloads on AWS.
Role type
Staff Data Engineer (GenAI/ML focus)
Builds
Enterprise Data Platform (EDP) pipelines, feature stores, and AI/ML consumption layers
Domain
Life Sciences / Cloud Data Engineering / Generative AI
Deliverable
production ML models
Required skills
Cloud data engineering on AWS, data modeling, distributed data processing, SQL, PySpark, Python, Generative AI/LLM data preparation, RAG patterns, vector stores, MLOps/LLMOps, Agile/DevOps/DataOps
Preferred skills
None stated
Technologies
AWS, PySpark, Python, SQL, Vector stores, Embeddings
Responsibilities
Convert business requirements into scalable GenAI-ready pipelines; Build, test, and optimize data pipelines and feature stores; Support EDP architecture evolution; Ensure governed data across DWH, AWS, and AI/ML layers; Provide hands-on technical guidance and oversight; Identify and mitigate data quality and AI output risks; Implement DevOps, DataOps, and MLOps/LLMOps best practices.
Seniority
Staff, hands-on IC with strategic oversight
