Cloud Architect– Clinical Data Hub

Career Category Information Systems 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  Clinical Data Hub  Amgen’s Clinical Data Hub (CDH) is a Information Technology product team chartered to identify, design and implement technology that powers Amgen’s end‑to‑end drug development lifecycle. We are at an inflection point, accelerating through rapid, AI‑driven modernization to build clinical data products that enable both drug regulatory submissions and drug discovery and development. If you’re passionate about turning complex clinical data into resilient, scalable products that help speed life‑changing medicines to patients worldwide, this is a once‑in‑a‑decade opportunity to do your career‑best work on a global stage.    Role Description:  Amgen’s Clinical Data Hub Product Team manages a core set of clinical solutions that support global clinical development.   The Principal IS Architect will define the architecture vision, create roadmaps and support the design and implementation of advanced computational platforms to support clinical development, ensuring that IT strategies align with business goals. The Principal IS Architect will work closely with stakeholders across departments, including CfDA, GDO, CfOR, CfTI, CPMS and IT teams, to design and implement scalable, reliable, and high-performing solutions.  Roles & Responsibilities:     Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives  Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities  Establish and enforce architectural standards, policies, and governance frameworks  Evaluate emerging technologies and assess their potential impact on the enterprise/domain/solution architecture  Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient  Maintain comprehensive documentation of the architecture, including principles, standards, and models  Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency  Work with stakeholders to gather and analyze requirements, ensuring that solutions meet both business and technical needs  Evaluate and recommend technologies and tools that best fit the solution requirements  Ensure seamless integration between systems and platforms, both within the organization and with external partners  Design systems that can scale to meet growing business needs and performance demands  Develop and maintain logical, physical, and conceptual data models to support business needs  Establish and enforce data standards, governance policies, and best practices  Design and manage metadata structures to enhance information retrieval and usability  Basic Qualifications and Experience:  Master’s or Bachelor's degree with 12 to 15 years of experience in Computer Science, IT or related field Functional Skills:  Must-Have Skills:  Proficiency in designing scalable, secure, and cost-effective solutions.  Expertise in cloud platforms (AWS, Azure, GCP), data lakes, and data warehouses.  Experience in evaluating and selecting technology vendors.  Ability to create and demonstrate proof of concept solutions to validate technical feasibility.  Strong knowledge of Clinical Research and Development Domain  Experience working in agile methodology, including Product Teams and Product Development models  Good-to-Have Skills:  Strong solution design and problem-solving skills  Experience in developing differentiated and deliverable solutions  Ability to analyze client requirements and translate them into solutions  Experience with machine learning and artificial intelligence applications in clinical research.  Strong programming skills in languages such as Python, R, or Java.  Experience of DevOps, Continuous Integration, and Continuous Delivery methodology  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  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.    .