We are looking for a Lead Data Engineer with excellent English communication skills to take ownership of our data platform architecture and lead a team of engineers in building nextgeneration, AI-powered data solutions. This role demands deep expertise in Databricks or Snowflake, ETL pipeline design, and Lakehouse architecture, as well as experience supporting AI/ML initiatives and AI agents.
Responsibilities
• Lead the end-to-end architecture and development of a modern, cloud-native data platform using Snowflake, following Lakehouse principles.
• Own and implement advanced ETL/ELT pipelines, ensuring high reliability, performance, scalability, and reusability.
• Design and optimize data models (star schema, normalized models) for analytics, BI, and ML workloads.
• Collaborate closely with data scientists and AI engineers to deliver training data pipelines, model scoring layers, and agent-ready data services.
• Oversee the integration of structured and unstructured data sources, ensuring strong data governance, security, and compliance.
• Champion code quality, documentation, testing, and CI/CD best practices across the data engineering team.
• Mentor junior and mid-level engineers, conduct code reviews, and foster a culture of technical excellence.
• Work directly with global product and business stakeholders using fluent English, including requirement gathering, translating needs into scalable solutions, and presenting architectural recommendations.
• Contribute to the development of AI agents and intelligent data services, leveraging real-time data and vector-based retrieval.
• Lead performance tuning, cost optimization, and infrastructure scaling across the data stack