Amgen
From Amgen's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
ABOUT THE ROLE Role Description: The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric.
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.
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.
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
Doctorate / Master’s / Bachelor’s degree with 8-12 years of experience in Computer Science, IT or related field
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.
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
Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
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
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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