Data Modeler

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 of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization.

The Data Modeler 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 drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data.

Roles & Responsibilities:

• Develop and maintain conceptual logical, and physical data models and to support business needs
• Contribute to and Enforce data standards, governance policies, and best practices
• Design and manage metadata structures to enhance information retrieval and usability
• Maintain comprehensive documentation of the architecture, including principles, standards, and models
• Evaluate and recommend technologies and tools that best fit the solution requirements
• Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency

Basic Qualifications and Experience:

• Doctorate / Master s / Bachelor s degree with 8-12 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills

• Data Modeling: Proficiency in creating conceptual, logical, and physical data models to represent information structures.
• Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs.
• Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality.
• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing
• Implementing Data testing and data quality strategies.

Good-to-Have Skills:

• Experience with Graph technologies such as Stardog, Allegrograph, Marklogic

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

• Certifications in Databricks are desired

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting

Shift Information:

This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

EQUAL OPPORTUNITY STATEMENT