We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization. The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments. What You’ll Do Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases  Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows  Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources  Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption  Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns  Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions  Optimize BigQuery performance, partitioning, and cost management strategies  Implement engineering best practices for testing, observability, reliability, and deployment automation  Support data governance, data quality, and metadata management initiatives across the platform  Mentor junior engineers and provide technical leadership across delivery teams  
