#R-221147
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
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.
.