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   Required Skills  Strong expertise in Google Cloud Platform (GCP), particularly:   BigQuery Cloud Storage Cloud Composer / orchestration tooling Dataflow or modern ingestion frameworks   Experience designing and building scalable data ingestion and pipeline automation frameworks   Strong understanding of semantic layer development and dimensional modeling concepts   Advanced SQL and Python development skills   Experience with ETL/ELT pipeline design and orchestration   Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices   Strong understanding of data quality, observability, and operational reliability principles  Experieng with AI driven workflows, and orchestration design patterns.  Preferred Experience  Experience working with healthcare data ecosystems and regulated enterprise environments   Familiarity with healthcare data standards or payer/provider analytics platforms   Experience supporting enterprise BI…