Master Data Management Data Architect

 

What you will do 
Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data deliver actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and driving data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills and provides administration support for Master Data Management (MDM) and Data Quality platform, including solution architecture, inbound/outbound data integration (ETL), Data Quality (DQ), and maintenance/tuning of match rules.

 

Roles & Responsibilities: 

Design, develop, and maintain data solutions for data generation, collection, and processing

Collaborate and communicate with MDM Developers, Data Architects, Product teams, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions

Identify and resolve complex data-related challenges

Adhere to standard processes for coding, testing, and designing reusable code/component

Participate in sprint planning meetings and provide estimations on technical implementation

As a SME, work with the team on MDM related product installation, configuration, customization and optimization

Responsible for the understanding, documentation, maintenance, and additional creation of master data related data-models (conceptual, logical, and physical) and database structures

Review technical model specifications and participate in data quality testing

Collaborate with Data Quality & Governance Analyst and Data Governance Organization to monitor and preserve the master data quality

Create and maintain system specific master data data-dictionaries for domains in scope

Architect MDM Solutions, including data modeling and data source integrations from proof-of-concept through development and delivery

Develop the architectural design for Master Data Management domain development, base object integration to other systems and general solutions as related to Master Data Management

Develop and deliver solutions individually or as part of a development team

Approves code reviews and technical work

Maintains compliance with change control, SDLC and development standards

Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs

Implement data security and privacy measures to protect sensitive data

Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

 

What we expect of you 
We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR

Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR

Diploma and 7 to 9 years of Computer Science, IT or related field experience.

Preferred Qualifications:

Expertise in architecting and designing Master Data Management (MDM) solutions.

Practical experience with AWS Cloud, Databricks, Apache Spark, workflow orchestration, and optimizing big data processing performance.

Familiarity with enterprise source systems and consumer systems for master and reference data, such as CRM, ERP, and Data Warehouse/Business Intelligence.

At least 2 to 3 years of experience as an MDM developer using Informatica MDM or Reltio MDM, along with strong proficiency in SQL.

 

Good-to-Have Skills: 

Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development.

Good understanding of data modeling, data warehousing, and data integration concepts.

Experience with development using Python, React JS, cloud data platforms.

Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments).

 

Soft Skills: 

Excellent critical-thinking and problem-solving skills

Good communication and collaboration skills

Demonstrated awareness of how to function in a team setting

Team-oriented, with a focus on achieving team goals

Strong presentation and public speaking skills.

 

What you can expect of us 
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

 

Apply now for a career that defies imagination  
 Objects in your future are closer than they appear. Join us. 
 

careers.amgen.com 

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided 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.