Description

You will oversee information engineering and data architecture to deliver data through systems, databases, and applications.

Responsibilities

• Design and implement the physical data model for the platform's data warehouse.
• Translate logical data models into physical models using Data Vault 2.0 methodology.
• Collaborate with Business Analysts and Information Architects to define logical realizations of business requirements.
• Review code and suggest optimizations to meet specific business demands.
• Ensure data quality for business users and provide technical requirements to the Analytics Engineering team.

Required Skills

• 5+ years of experience in designing conceptual, logical, and physical data models.
• Deep understanding of Data Vault 2.0 methodology.
• Proficiency in data modeling and ETL/ELT processes.
• Experience with data harmonization and master data enhancements across structured and unstructured sources.
• Working knowledge of dbt and GIT.
• Understanding of traditional relational data modeling.
• Knowledge of data governance and data catalog best practices.
• Any Graduate degree.

Preferred Skills

• Data Vault 2.0 certification.
• Experience with dbt and Jinja.
• Knowledge of the Pharma Commercial Data landscape and distributed data warehousing fundamentals.

Key Skills

Education

Any Graduate