Senior Enterprise Data Architect

1 day ago

Madurai, Tamil Nadu, India beBeeArchitect Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Data Architect

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

Key Responsibilities:
  • Data Modeling: Develop logical and physical data models to ensure efficient data storage and retrieval.
  • ETL Processes: Design, develop, and optimize ETL processes to accurately and efficiently move data from various sources into the data warehouse.
  • Infrastructure Design: Plan and implement the technical infrastructure, including hardware, software, and network components.
  • Data Governance: Ensure compliance with regulatory standards and implement data governance policies to maintain data quality and security.
  • Performance Optimisation: Continuously monitor and improve the performance of the data warehouse to handle large volumes of data and complex queries.
  • Semantic Layer Definition: Define and manage the semantic layer architecture and technology stack to manage the lifecycle of semantic constructs.
  • Common Data Layer Management: Integrate data from multiple sources into a centralized repository, ensuring consistency and accessibility.
  • Generative AI: Have experience working with production-ready use cases for generative AI-based data and systems.
Qualifications:
  • 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.

This is an opportunity to leverage expertise in data architecture and management to drive business insights and support regulatory compliance.

The ideal candidate will have strong expertise in data modeling, ETL processes, and infrastructure design, as well as experience with data governance and regulatory compliance.

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