ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
The role is responsible for developing and maintaining the data architecture across Data analytics platforms and applications, along with liaising with Architecture that includes the activities required for data flow design, data modelling, physical data design, query performance optimization.
The Data Modeler architect position is responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Modeler architect drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data.
Roles & Responsibilities:
Basic Qualifications and Experience:
[GCF Level 5A]
Functional Skills:
Must-Have Skills
Good-to-Have Skills:
Professional Certifications (please mention if the certification is preferred or mandatory for the role):
Soft Skills:
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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Salary: $45000-75000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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