Chief Data Strategist

20 hours ago

Rajkot, Gujarat, India beBeeDataArchitecture Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Key Role: Data Architect

We seek an exceptional data architect to spearhead the design and implementation of a cutting-edge data warehousing platform in the pharmaceutical industry.

The ideal candidate will leverage their expertise in data architecture and management to craft a robust data warehousing framework that ensures seamless integration of diverse data sources, maintains high standards of data quality and governance, and enables advanced analytics through the definition and management of semantic and common data layers.

This includes:

  • Data Modeling: Design logical and physical data models to ensure efficient data storage and retrieval.
  • ETL Processes: Develop and optimise 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 including consumption into downstream systems.
  • Common Data Layer Management: Integrate data from multiple sources into a centralized repository, ensuring consistency and accessibility.

The successful candidate will possess deep expertise in architecting enterprise-grade software systems that are performant, scalable, resilient, and manageable. Experience with generative AI technologies and their application in data warehousing is highly desirable.

Required Skills and Qualifications:

  • 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.

Benefits:

  • Opportunity to work on high-profile projects in the pharmaceutical industry.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

Others:

  • 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.

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