(Seoul) Senior Data Platform Engineer
Core
Designing and implementing large-scale data platforms to collect, store, process, and serve medical imaging and diagnostic data for AI model development.
Role type
Senior Data Platform Engineer
Builds
End-to-End data workflows, data lineage/metadata/quality management systems, and data platform Web UIs for AI researchers.
Domain
Healthcare AI / Medical Data Infrastructure
Deliverable
production ML models
Required skills
Data pipeline design & operation, Workflow orchestration (Prefect/Airflow), Large-scale data storage & processing (TB/PB scale), Object storage (Azure Blob/GCS), Relational DBs (PostgreSQL), Lakehouse/WH (Iceberg/Trino/BigQuery), Python, Go, Kubernetes, Docker, MLflow, RBAC, Data governance & security.
Preferred skills
DICOM/medical data understanding, AI dataset annotation tool development, GPU learning environment integration, Automated data testing & validation, Regulatory compliance (HIPAA/EU AI Act), Cloud cost optimization, Data catalog usage (DataHub/Amundsen), Global team collaboration.
Technologies
Python, Go, Prefect, PostgreSQL, Iceberg, Trino, BigQuery, Azure Blob Storage, GCS, Kubernetes, Docker, MLflow, Cursor, Codex, Claude Code
Responsibilities
Design and develop data pipelines for TB~PB scale medical imaging data; Build end-to-end data workflows from collection to deployment; Implement data quality, version control, and lineage management systems; Develop Web UI tools for data exploration and annotation; Design and implement data access control and governance features; Collaborate with AI researchers and MLOps engineers to solve user problems; Utilize AI-based development tools to enhance pipeline productivity.
Seniority
Senior, hands-on IC
