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Flight test data is an important output of civil aircraft flight tests, characterized by a large number of measurement parameters, large data volume, and strong correlation between flight test data and test flight mission information, supporting aircraft type certification and design optimization tasks. The data architecture of the flight test data platform integrates multiple heterogeneous data sources, manages various types of data in different formats, and provides multi-level data processing and analysis functions, creating a unified data lakehouse for flight test data. The data processing technology used for flight test data integration adopts a hybrid approach of stream-batch integration, incorporating mainstream data processing engines such as Spark and Flink, with the ability to quickly ingest flight test data into the data platform. The platform proposes a method of aggregation at the second level, with PB-level multidimensional flight test data compression and storage capabilities, supporting fast retrieval based on second-level indexing conditions and enhancing data lake query capabilities. Data warehousing technology is also studied, with the design of a multi-layer data model for flight test data, supporting fine-grained queries for multidimensional information, flexible drilling down into multiple layers of data, and integration of custom functions, which has been successfully applied in the management of flight test data for a certain type of domestic civil aircraft, serving flight test data users and improving the efficiency and value of flight test data management.