Principal Data Architect

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease
- we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

**What you will do**

Let’s do this. Let’s change the world. In this vital role you will manage and oversee the development of robust Data Architectures, Platforms, Frameworks, Data product Solutions, while mentoring and guiding a small team of data engineers & architects. You will be responsible for leading the development, implementation, and management of enterprise-level data engineering frameworks and solutions that support the organization's data-driven strategic initiatives. You will continuously strive for innovation in the technologies and practices used for data engineering and build enterprise scale data frameworks and expert data engineers. This role will closely collaborate with counterparts in US and EU. You will collaborate with cross-functional teams, including platform, functional IT, and business stakeholders, to ensure that the solutions that are built align with business goals and are scalable, secure, and efficient.

**Roles & Responsibilities**:

- Evaluate the new trends & features in data platforms area and build rapid prototypes
- Build Data Solution Architectures and Frameworks to accelerate the Data Engineering processes
- Build frameworks to improve the re-usability, reduce the development time and cost of data management & governance
- Integrate AI into data engineering practices to bring efficiency through automation
- Build best practices in Data Platforms capability and ensure their adoption across the product teams
- Build and nurture strong relationships with stakeholders, emphasizing value-focused engagement and partnership to align data initiatives with broader business goals.
- Lead and motivate a high-performing data platforms team to deliver exceptional results.
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
- Collaborate with counterparts in US and EU and work with business functions, functional IT teams, and others to understand their data needs and ensure the solutions meet the requirements.
- Engage with business stakeholders to understand their needs and priorities, ensuring that data and analytics solutions built deliver real value and meet business objectives.
- Drive adoption of the data and analytics platforms & Solutions by partnering with the business stakeholders and functional IT teams in rolling out change management, trainings, communications, etc.
- Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship.
- Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities
- Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions

**What we expect of you**

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

**Basic Qualifications**:

- 12 to 17 years with computer science and engineering preferred, other Engineering fields will be considered
- 10+ years of experience in building Data Platforms, Data Engineering, working in COE development or product building
- 5+ years of Hands-on experience working with Big Data Platforms & Solutions using AWS and Databricks
- 5+ years of experience in leading enterprise scale data engineering solution development.
- Experience building enterprise scale data lake, data fabric solutions on cloud leveraging modern approaches like Data Mesh
- Demonstrated proficiency in levera