Lead Data Engineer

Job Role:- Lead Data Engineer

Job Location:- Singapore

Experience:-8+ Years

• Lead the design, development, implementation, and operational support of enterprise data platforms and data engineering solutions.
• Design and develop scalable data pipelines, ETL/ELT processes, and data integration frameworks.
• Define and implement data contracts, data quality standards, and data validation processes to ensure data integrity.
• Provide technical leadership, mentorship, and guidance to data engineering teams throughout the project lifecycle.
• Collaborate with architects, product managers, and cross-functional teams to deliver reliable and scalable data solutions.
• Develop technical documentation, onboarding guides, operational runbooks, and best practices for data platform operations.
• Monitor and optimize data pipeline performance, reliability, and scalability.
• Support knowledge sharing and capability development within internal engineering teams.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 8 years of experience in data engineering, including designing and developing enterprise data platforms.
• Proven experience leading technical teams and delivering large-scale data engineering projects.
• Strong expertise in data pipeline development, ETL/ELT processes, data integration, and data modelling.
• Experience implementing data contracts, data quality frameworks, and data governance best practices.
• Hands-on experience with modern data platform technologies such as Databricks or equivalent cloud-based data engineering platforms.
• Proficiency in SQL, Python, Spark, and cloud data services is preferred.
• Excellent leadership, analytical, problem-solving, communication, and stakeholder management skills.