Lead Data Engineer
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Job Description
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
Requirements
Function: Marketing
Experience Level: Mid-Senior Level