Specialist Data Architect

NoxPharm; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amgen is seeking a Data Modeler Architect to develop and maintain data models across analytics platforms. You will drive data interoperability, define governance standards, and support AI initiatives on foundational data. Strong collaboration with cross-functional teams is essential.

The role emphasizes designing conceptual to physical data models, evaluating tools, and maintaining comprehensive architecture documentation to enable efficient decision-making across data ecosystems.

Qualifications

• Experience in creating conceptual, logical, and physical data models.
• Knowledge of metadata standards and ontologies.
• Hands-on with big data technologies and platforms.
• Familiarity with data governance policies and standards.

Responsibilities

• Develop conceptual, logical, and physical data models to support business needs.
• Enforce data standards, governance policies and best practices.
• Design and manage metadata structures for retrieval and usability.
• Document architecture principles, standards, and models.
• Evaluate technologies to fit solution requirements and drive innovation.

Skills

Data modeling

Metadata management

Big data processing

Data governance

Cross-functional collaboration

Problem solving

Communication

Education

Bachelor’s degree in Computer Science/Information Technology

Diploma in Computer Science

Tools

Databricks

Apache Spark

SparkSQL

PySpark

Metadata management tools

Graph databases (Stardog/AllegroGraph/MarkLogic)

Job description

Job Description:

Career Category Engineering Job Description

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:

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:

• 6 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 6
• 8 years of experience in Computer Science, IT or related field OR Diploma with 10
• 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 Demonstrated awareness of presentation 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. .