Lead Data Engineer

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence. 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 Re