Data Architect (R-18301)

Why Work at Dun & Bradstreet

Dun & Bradstreet harnesses the power of data to create a better future. Every day, we explore new ways to continuously drive a culture of excellence, accelerating innovation and growth. Over 6,000 employees worldwide are passionate about their work. We are committed to helping clients turn the unknown into confidence, risk into opportunity, and potential into growth. We always welcome diverse talents who dare to dream. Come join us!

Responsibilities

• Lead the data architecture and data model design for financial enterprise-level subject areas (risk, rating, customer, participant, transaction, etc.), ensuring alignment with global reference models (Universal Entity Model, Hierarchy & Link Model).
• Based on Data Mesh / Lakehouse concepts, plan the overall technical blueprint for data lakes, data warehouses, graph databases, and real-time streaming data platforms, promoting the implementation of "data as a product."
• Use DataWorks, Hive/Spark/Hadoop, and graph databases (Neo4j/JanusGraph) to complete model materialization, ETL/ELT, and performance tuning; write high-quality SQL, Python code, and automated testing scripts.
• Lead or participate in data architecture consulting projects (DD/evaluation/transformation planning), outputting blueprint designs, implementation roadmaps, and ROI evaluation reports.
• Stay abreast of data architecture frontiers (Data Fabric, graph neural networks, privacy computing), rapidly prototype new technologies and introduce them into production.

Requirements

• Bachelor's degree or above in Computer Science, Information, Engineering, Mathematics, or related fields.
• 8+ years of industry experience, including 5+ years of data architecture or data modeling experience.
• Proficient in relational modeling (3NF, Data Vault, Anchor), dimensional modeling (Kimball), and NoSQL/graph data modeling; familiar with financial industry enterprise subject models (IBM FSDM, Teradata FS-LDM or similar).
• Proficient in using at least one mainstream data modeling tool (Erwin, PowerDesigner, ER/Studio, etc.) and version control (Git).
• Proficient in SQL tuning, skilled in using Python for data processing; practical experience in Hive/Spark/Hadoop big data development; familiarity with DataWorks / MaxCompute ecosystem is a plus.
• Familiarity with NoSQL databases (MongoDB/ES) and graph databases (Neo4j/JanusGraph/Nebula) is a plus.
• Excellent business abstraction ability, able to quickly understand complex financial business scenarios and translate regulatory, risk control, and marketing requirements into data model requirements.
• Fluent in both Chinese and English, able to communicate seamlessly with global product and APAC clients; experience in pre-sales/consulting presentations is a plus.
• Experience in cross-timezone team collaboration, skilled at driving the implementation of technical and governance standards through influence.