Description :

About the Role :

We are seeking a highly skilled Tamr Customer 360 Architect to design and implement an end-to-end Customer 360 architecture leveraging Tamrs AI-powered data mastering platform. The ideal candidate will be responsible for architecting a unified, accurate, and actionable view of customer data by integrating, mastering, and enriching data from multiple sources. This role requires a strong background in data architecture, Python development, AI/ML-based data mastering, and cloud technologies (AWS, Azure, or Snowflake).

Required Skills :

- Architect and implement end-to-end Tamr Customer 360 Architecture, designing and implementing a unified, accurate, and actionable view of customer data using Tamr's AI-powered data mastering platform.

- Experience in designing the overall data model for the Customer 360 solution, including the structure and relationships between different data entities.

- Develop and maintain data pipelines using Python for extracting, transforming, and loading data from various sources into TAMR.

- Experience in Tamr's AI/ML capabilities for data mastering, including entity resolution, data quality improvement, and enrichment.

- Experience in Cloud services and Python

- Utilize AWS, Azure, and Snowflake to build scalable and secure data infrastructure and optimize data processing and storage.