Data Platform Architect

About Us:

A global technology company specializing in e-commerce, cloud computing, digital payments, logistics, and artificial intelligence, serving businesses and consumers across more than 200 countries and regions.

Job Responsibilities

• Design, develop, and maintain enterprise-level data warehouse models, ETL pipelines, and scheduling workflows to ensure data accuracy, consistency, and timeliness
• Analyze business requirements, identify data sources, and design end-to-end data processing workflows across the data warehouse layers, including ODS, DWD, DWS, and ADS
• Develop and optimize large-scale ETL/ELT processes using big data technologies such as Hive, Spark, Flink, HDFS, and Kafka for data extraction, cleansing, transformation, and loading
• Write efficient, maintainable SQL queries and scripts (e.g., Python and Shell) to improve data processing performance and execution efficiency
• Collaborate closely with Data Analysts, Product Managers, and BI Engineers to support reporting, dashboards, and analytical requirements
• Develop data visualizations using BI tools such as Tableau, Power BI, FineBI, or QuickBI to support business decision-making
• Participate in data governance initiatives, including metadata management, data quality monitoring, and data lineage analysis

.Job Requirements

• Bachelor's degree or above in Computer Science, Data Engineering, Data Science or a related courses
• Minimum 4 years of relevant working experience in data engineering or data warehouse development
• Strong command of both English and Chinese Mandarin languages with good communication and writing skills
• Hands-on experience with cloud-native technologies, including Kubernetes (K8s), Docker, Jaeger, SkyWalking, and Harbor
• Experience with Public Cloud (AWS, Azure, GCP) or Private Cloud (Alibaba Cloud) services such as ACK and EDAS is highly preferred
• Solid understanding of enterprise data platform or data warehouse architecture, with experience participating in the design or implementation of a data warehouse from scratch (0→1)
• Strong knowledge of data warehouse methodologies and dimensional modeling, including: Multi-layer architecture (Staging → ODS → DW/DWD → DWS → ADS, Star Schema, Snowflake Schema
• Hands-on experience with ETL orchestration tools such as Kettle (Pentaho Data Integration) and Apache Airflow
• Familiar with Alibaba Cloud Data Platform products such as MaxCompute (ODPS) and Data Transmission Service (DTS) is an advantage
• Strong SQL programming skills and scripting experience using Python and Shell
• Experience working with large-scale distributed data processing technologies is highly desirable
• Excellent analytical, problem-solving, and cross-functional collaboration skills