Principal Architect - Data Architecture & Engineering

Career Category

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: 

We are seeking a seasoned and passionate Principal Architect (Enterprise Architect – Data Platform Engineering) in our Data Architecture & Engineering group to drive the architecture, development and implementation of our strategy spanning across Data Fabric, Data Management, and Data Analytics Platform stack. The ideal candidate possesses a deep technical expertise and understanding of data and analytics landscape, current tools and technology trends, and data engineering principles, coupled with strong leadership and data-driven problem-solving skills.  As a Principal Architect, you will play a crucial role in building the strategy and driving the implementation of best practices across data and analytics platforms. 

Roles & Responsibilities:  

• Must be passionate about Data, Content and AI technologies - with ability to evaluate and assess new technology and trends in the market quickly - with enterprise architecture in mind 

• Drive the strategy and implementation of enterprise data platform and technical roadmaps that align with the Amgen Data strategy  

• Maintain the pulse of current market trends in data & AI space and be able to quickly perform hands-on experimentation and evaluations 

• Provide expert guidance and influence the management and peers from functional groups with Enterprise mindset and goals 

• Responsible for design, develop, optimize, delivery and support of Enterprise Data platform on AWS and Databricks architecture  

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

• Advice and support Application teams (product managers, architects, business analysts, and developers) on tools, technology, and methodology related to the design and development of applications that have large data volume and variety of data types  

• Collaborate and align with EARB, Cloud Infrastructure, Security and other technology leaders on Enterprise Data Architecture changes 

• Ensure scalability, reliability, and performance of data platforms by implementing best practices for architecture, cloud resource optimization, and system tuning. 

• Collaboration with RunOps engineers to continuously increase our ability to push changes into production with as little manual overhead and as much speed as possible. 

Basic Qualifications and Experience: 

• Master’s degree with 8 - 10 years of experience in Computer Science, IT or related field OR  

• Bachelor’s degree with 10 - 14 years of experience in Computer Science, IT or related field 

Functional Skills: 

Must-Have Skills: 

• 8+ years of experience in data architecture and engineering or related roles with hands-on experience building enterprise data platforms in a cloud environment (AWS, Azure, GCP). 

• 5+ years of experience in leading enterprise scale data platforms and solutions 

• Expert-level proficiency with Databricks and experience in optimizing data pipelines and workflows in Databricks environments. 

• Deep understanding of distributed computing, data architecture, and performance optimization in cloud-based environments. 

• Experience with Enterprise mindset / certifications like TOGAF etc. are a plus.  

• Highly preferred to have Big Tech or Big Consulting experience. 

• Solid knowledge of data security, governance, and compliance practices in cloud environments. 

• Must have exceptional communication to engage and influence architects and leaders in the organization 

Good-to-Have Skills: 

• Experience with Gen AI tools in databricks 

• Experience with unstructured data architecture and pipelines  

• Experience working with agile development methodologies such as Scaled Agile. 

Professional Certifications 

• AWS Certified Data Engineer preferred 

• Databricks Certificate preferred 

Soft Skills: 

• Excellent analytical and troubleshooting skills. 

• Strong verbal and written communication skills 

• Ability to work effectively with global, virtual teams 

• High degree of initiative and self-motivation. 

• Ability to manage multiple priorities successfully.  

• Team-oriented, with a focus on achieving team goals 

• Strong presentation and public speaking 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.