Chief Data Architecture Specialist

4 days ago

Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Architect Position

Our organization is seeking a highly skilled Senior Data Architect to lead the design and implementation of a robust data warehousing platform. This individual will be responsible for ensuring seamless integration of diverse data sources, maintaining high standards of data quality and governance, and enabling advanced analytics through the definition and management of semantic and common data layers.

Key Responsibilities:

  • Design logical and physical data models to ensure efficient data storage and retrieval.
  • Develop and optimize ETL processes to accurately and efficiently move data from various sources into the data warehouse.
  • Plan and implement the technical infrastructure, including hardware, software, and network components.
  • Ensure compliance with regulatory standards and implement data governance policies to maintain data quality and security.
  • Continuously monitor and improve the performance of the data warehouse to handle large volumes of data and complex queries.
  • Define and manage the semantic layer architecture and technology stack to manage the lifecycle of semantic constructs.
  • Integrate data from multiple sources into a centralized repository, ensuring consistency and accessibility.

Requirements:

  • Proven experience in data architecture and data warehousing, preferably in the pharmaceutical industry.
  • Strong knowledge of data modeling, ETL processes, and infrastructure design.
  • Experience with data governance and regulatory compliance in the life sciences sector.
  • Proficiency in using Axtria DataMAx or similar data management products.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.

Preferred Skills:

  • Familiarity with advanced analytics and machine learning techniques.
  • Experience in managing semantic and common data layers.
  • Knowledge of FDA guidelines, HIPAA regulations, and other relevant regulatory standards.
  • Experience with generative AI technologies and their application in data warehousing.

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