Senior Data Architect

1 day ago

Nagpur, Maharashtra, India beBeeData Full time US$ 10,00,000 - US$ 15,00,000

Design and implement a robust data warehousing platform for the pharmaceutical industry as a senior data architect.

The goal is to ensure seamless integration of diverse data sources, maintain high standards of data quality, governance, and enable advanced analytics through the definition and management of semantic and common data layers.

You will utilise data manipulation and generative AI technologies to accelerate business insights and support regulatory compliance ultimately enhancing decision-making and operational efficiency.

Key Responsibilities
  • Design and develop a data warehouse architecture that meets business requirements.
  • Implement data integration and ETL processes to ensure data accuracy and consistency.
  • Maintain data quality and governance standards to ensure data integrity.
  • Develop and manage semantic and common data layers to enable advanced analytics.
  • Utilise data manipulation and generative AI technologies to accelerate business insights.
Requirements
  • Bachelor's degree in Computer Science, Information Technology or related field.
  • Minimum 5 years experience in data warehousing and business intelligence.
  • Strong understanding of data architecture, data modelling and database design.
  • Experience with data manipulation and AI technologies.
  • Excellent problem-solving skills and attention to detail.
What We Offer

A dynamic work environment with opportunities for professional growth and development. A competitive salary and benefits package. The chance to work with a talented team of professionals and make a real impact on our business.

About This Role

This role requires a highly skilled and experienced data architect who can design and implement a robust data warehousing platform. The successful candidate will have a strong understanding of data architecture, data modelling and database design. They will also have experience with data manipulation and AI technologies and be able to utilises these skills to accelerate business insights.

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