Lead Data Engineer
Core
Design, build, and modernize cloud-native data platforms on Google Cloud, leading the migration from legacy ETL systems to support analytics and AI use cases.
Role type
Lead Data Engineer (Cloud Platform & Architecture)
Builds
Scalable data architectures (lake, warehouse, lakehouse), batch and near-real-time pipelines, and reusable data products.
Domain
Cloud Data Engineering, Pharma/Life Sciences
Deliverable
production ML models
Required skills
GCP (BigQuery, Airflow, PySpark), Informatica IICS, Advanced SQL, Python, Data Modeling (Dimensional, Data Vault), DataOps (CI/CD, Terraform), Vendor Management
Preferred skills
GCP or Informatica certification, Experience in pharma/life sciences, Large enterprise settings
Technologies
Google Cloud Platform, BigQuery, Cloud Composer, Informatica IICS, Airflow, PySpark, SAP BODS, Terraform
Responsibilities
Design scalable data architectures across data lake, warehouse, and lakehouse layers; Lead migration of legacy ETL platforms to cloud-native tools; Build and optimize batch and near-real-time pipelines; Implement DataOps practices including CI/CD and automated testing; Mentor engineers and set engineering standards.
Seniority
Senior, hands-on IC with leadership responsibilities
