Data Engineer

A leading global pharmaceutical innovator is seeking a Senior Manager of Data Engineering to join their team in Princeton New Jersey. This role focuses on developing advanced data and analytics platforms specifically for the clinical trial domain with a heavy emphasis on patient engagement site feasibility and forecasting.Our client offers a mission driven culture where employees work on life saving medicines. The role provides a competitive salary range of 153770 to 186327 dollars annually plus significant benefits including flexible time off comprehensive insurance and discretionary incentive opportunities.Primary ResponsibilitiesDesign and implement secure scalable data ecosystems supporting the full lifecycle of data products within clinical operations.Lead the development of cloud native solutions using Databricks Delta Lake and Unity Catalog to ensure high performance and strict governance.Build and deploy Generative AI and Natural Language Processing applications including RAG and LLM fine tuning to accelerate clinical trial timelines.Partner with cross functional leaders in Global Drug Development to drive adoption of new data platforms and ensure interoperability.Optimize data architectures for cost effectiveness and availability using modern parallel processing and caching techniques.Provide technical mentorship to junior engineers and manage external vendor resources to maintain engineering excellence.Document all technical processes and contribute to the creation of self service data discovery tools for business stakeholders.Required Qualifications and ExperienceMinimum of 7 years of professional experience in Data Engineering Analytics and Machine Learning.Proven track record of building production grade data solutions within a cloud environment.Strong technical proficiency in Python SQL Spark and PySpark.Deep expertise with the Databricks suite including Workflows Mosaic AI and MLflow.Hands on experience with Generative AI frameworks vector embeddings and prompt engineering.Experience with clinical trial data structures or systems such as Veeva Vault Medidata Rave or IRT is highly preferred.Ability to design complex ETL ELT pipelines and semantic data models for large scale datasets.Strong communication skills with the ability to influence stakeholders and drive technical adoption.Expertise in DevOps practices and cloud native data platform management.The successful candidate will be someone who stays ahead of technology trends in semantic search and containerization to deliver measurable business outcomes in a high impact research and development environment.