Lead Data Engineer

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