Senior Business Intelligence Architect

6 days ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Data Architect Lead

Location:

Experience: 10+ Years

The goal of this role is to design, implement and optimise a robust data warehousing platform for the pharmaceutical industry.

Key Responsibilities:

• Design logical and physical data models to ensure efficient data storage and retrieval.

• 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.

Advanced Analytics:

• Enable advanced analytics and machine learning to identify patterns in genomic data, optimise clinical trials, and personalise medication.

Generative AI:

• Should have worked with production-ready use cases for GenAI-based data and analytics.

Stakeholder Engagement:

• Work closely with business stakeholders to understand their data needs and translate them into technical solutions.

Requirements:

• Proven experience in data architecture and data warehousing, preferably in the pharmaceutical industry.

• Strong knowledge of data modelling, 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.

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

Benefits:

This role offers the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and contribute to the development of innovative data solutions.

Others:

We are an equal opportunities employer and welcome applications from diverse candidates. If you have any questions or would like to discuss this role further, please contact us at [contact email].

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