Description :

Role Overview :

We are seeking a highly skilled TAMR Architect to design and implement end-to-end Customer 360 architecture leveraging Tamrs AI-powered data mastering platform.

The ideal candidate will possess deep expertise in data architecture, cloud environments, and Python-based data engineering to deliver a unified, accurate, and actionable view of customer data.

Key Responsibilities :

- Design and implement TAMR-based Customer 360 solutions, ensuring a holistic, high-quality view of customer data.

- Architect the data model for the Customer 360 solution, defining data entities, relationships, and governance standards.

- Build and maintain ETL pipelines using Python to extract, transform, and load data into the TAMR platform from multiple sources.

- Leverage Tamrs AI/ML capabilities for data mastering, including entity resolution, deduplication, enrichment, and data quality improvement.

- Collaborate with cross-functional teams to align data architecture with business goals and analytics needs.

- Integrate and optimize data systems using AWS, Azure, and Snowflake, ensuring scalability, performance, and security.

- Monitor, troubleshoot, and optimize data workflows and pipelines for efficiency and reliability.

Required Skills & Qualifications :

- 1012 years of experience in data architecture, engineering, or master data management (MDM).

- Proven experience working with Tamr or similar data mastering platforms.

- Strong proficiency in Python for data engineering and automation.

- Hands-on experience with cloud technologies (AWS, Azure) and data warehousing platforms like Snowflake.

- Deep understanding of data modeling, ETL design, and data governance principles.

- Strong problem-solving skills with the ability to translate business needs into scalable data solutions.

- Excellent communication and collaboration abilities