Senior/Lead Data Engineer (khối AI Đa thiết bị/Dữ liệu)

DESCRIPTIONWe are looking for an experienced Senior/Lead Data Engineer to architect and build a centralized data platform on AWS from the ground up. The platform collects, processes, and serves multimodal data (video, audio, sensor...) for AI model training, analytics, and data insights. You will own the architecture end-to-end and collaborate with ML Engineers, Edge/Embedded Engineers, Data Scientists, and Product teams. We need someone with deep AWS expertise, strong ownership, and a track record of building data platforms, not just maintaining them.  KEY JOB RESPONSIBILITIES- Design, implement, and own the data platform architecture on AWS, combining Data Lake and Data Warehouse patterns.- Build and maintain scalable data pipelines (batch and real-time streaming) to ingest, transform, and serve data from a wide variety of sources.- Architect multi-zone data storage (raw, curated, feature-ready) with data lineage and schema versioning.- Build a data dictionary, data catalog, and governance plan; manage and audit all registered data.- Develop data quality frameworks including deduplication, validation, and cross-source timestamp synchronization.- Implement data anonymization and security controls for sensitive data (PII, biometrics).- Build APIs and integration layers for data consumers: ML training pipelines, analytics dashboards, and third-party partners.- Collaborate with data scientists and ML engineers to provide the right data for AI/ML use cases.- Set up monitoring, alerting, and observability for all data pipelines and infrastructure.- Develop automated solutions to minimize manual processes, with focus on efficiency and scalability.- Conduct code reviews, enforce best practices for ETL and data engineering, and drive engineering excellence.- Mentor team members on best practices and grow the data engineering team.