Job description

As a Data Architect, having Datawarehouse (database) platform experience and hands on in terms

Design and implement robust data architecture frameworks that support data intelligence initiatives.
Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
Develop, maintain and enhance data models, data flow diagrams, and data dictionaries to ensure data consistency and integrity.
Oversee and propose solutions on the integration of data from various sources, ensuring data quality and accessibility for analytical purposes.
Implement and enforce data governance practices to ensure compliance with regulatory requirements and company policies.
Work closely with data engineers, solution architects, enterprise data architects, and consultants to optimize data pipelines and enhance data processing capabilities.
Evaluate and recommend tools and technologies for data management and analytics with strong presence of AI , or Agentic AI.
Monitor data usage and performance, providing insights and recommendations for continuous product improvements.
Stay updated on industry trends and best practices in data architecture and AI trends.

You are a technology aficionado, therefore you have a good understanding of Teradata, Snowflake, ETL tools ie Matilion, ADF, Generative AI implementations, Machine learning / python is nice to have You are able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful