Lead Data Engineer
We are seeking aLead Data Engineerto 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 engineeringexpertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments.
WhatYoullDo
Design, build, andoptimizescalable data pipelines supporting enterprise healthcare analytics and reporting use cases
Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows
Develop andmaintainingestion frameworks for structured and semi-structured healthcare data sources
Build and expand semantic data layers within GCP andBigQueryto support consistent, trusted business reporting and analytics consumption
Design scalable ELT/ETL workflowsleveragingmodern cloud-native architecture patterns
Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions
OptimizeBigQueryperformance, 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
