Senior Data Engineer

Strong experience architecting enterprise data platforms on Google Cloud (GCP). The architect will work as a strategic technical partner to design and build a GCP BigQuery-based Data Lake & Data Warehouse ecosystem.

The role requires deep hands‑on expertise in data ingestion, transformation, modeling, enrichment, and governance, combined with a strong understanding of clinical healthcare data standards, interoperability, and cloud architecture best practices.

Key Responsibilities:

1. Data Lake & Data Platform Architecture (GCP)

• Architect and design an enterprise-grade GCP-based data lakehouse leveraging BigQuery, GCS, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and BigQuery Omni.
• Define data ingestion, hydration, curation, processing and enrichment strategies for large‑scale structured, semi‑structured, and unstructured datasets.
• Create data domain models, canonical models, and consumption‑ready datasets for analytics...