As a Data Architect at Merkle, dentsu Taiwan. The primary focus of this role is on the development of marketing data integration solutions such as CDP (Customer Data Platform), CRM, and Data Middleware. Leveraging technologies including databases, data lakes, data warehouses, and ETL data pipelines, the Data Architect will be responsible for designing and implementing solutions throughout the project development lifecycle. This role will act as the solution owner, directly contributing to solution architecture, design, development, testing, and deployment. The Data Architect will also serve as a subject matter expert in the field of solution technology.
Responsibilities:
1.Concentrate on the construction of marketing data integration applications, such as CDP, CRM, and Data Middleware.
2.Participate in early-stage architecture planning and implementation design for data application projects to ensure robust data architecture.
3.Design and implement data processing workflows and ETL pipelines for big data, integrating, cleansing, transforming, processing, modeling, and designing databases and data flows. Assist data scientists in data analysis and modeling.
4.Ensure accuracy, completeness, consistency, availability, security, and privacy of diverse data sources.
5.Collaborate with clients' data departments in industries like retail, finance, telecommunications, and e-commerce, utilizing data engineering and data science foundations to provide data application support and solutions.
6.Conduct requirement interviews, architecture planning, construction, development, and maintenance for data integration platforms and data warehouses.
7.Research data technology tools, perform proof-of-concept (POC) studies, and validate feature capabilities.