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Mid Level/Senior

Data Engineering leads multiple data engineering teams responsible for building scalable, secure, and high‑performance data platforms. This role requires deep technical expertise, strong leadership, hands‑on architecture experience, and the ability to deliver enterprise‑grade data solutions across cloud and on‑prem ecosystems.
oversees the day‑to‑day execution of data engineering projects, leads a team of engineers, and ensures delivery of high‑quality data pipelines and data assets. This role requires strong technical hands‑on skills along with people management capabilities.

Data Layer
Big Data Platforms for ingesting HCP, patient, and market data.
Elasticsearch for fast search and indexing of campaign dataAI & Analytics (pipeline orchestration portion)
Data Science Pipelines for segmentation and NBA orchestration (feature stores, batch/stream ETL, model I/O)
Cloud Infrastructure (as used by data teams)
AWS data services (e.g., S3, Glue, EMR, MSK/Kinesis, Redshift, Step Functions) for scalable pipelines