Principal Solution Architect

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:   We are seeking a seasoned Principal Architect – Solutions to drive the architecture, development and implementation of data solutions to Amgen functional groups. The ideal candidate able to work in large scale Data Analytic initiatives, engage and work along with Business, Program Management, Data Engineering and Analytic Engineering teams. Be champions of enterprise data analytic strategy, data architecture blueprints and architectural guidelines. As a Principal Architect, you will play a crucial role in designing, building, and optimizing data solutions to Amgen functional groups such as R&D, Operations and GCO.   Roles & Responsibilities:     Implement and manage large scale data analytic solutions to Amgen functional groups that align with the Amgen Data strategy    Collaborate with Business, Program Management, Data Engineering and Analytic Engineering teams to deliver data solutions   Responsible for design, develop, optimize , delivery and support of Data solutions on AWS and Databricks architecture    Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.   Provide expert guidance and mentorship to the team members, fostering a culture of innovation and best practices.   Be passionate and hands-on to quickly experiment with new data related technologies   Define guidelines, standards, strategies, security policies and change management policies to support the Enterprise Data platform.    Collaborate and align with EARB, Cloud Infrastructure, Security and other technology leaders on Enterprise Data Architecture changes   Work with different project and application groups to drive growth of the Enterprise Data Platform using effective written/verbal communication skills, and lead demos at different roadmap sessions    Overall management of the Enterprise Data Platform on AWS environment to ensure that the service delivery is cost effective and business SLAs around uptime, performance and capacity are met    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.   Maintain knowledge of market trends and developments in data integration, data management and analytics software/tools   Work as part of team in a SAFe Agile/Scrum model         Basic Qualifications and Experience:   Master’s degree with 12 - 15 years of experience in Computer Science, IT or related field OR    Bachelor’s degree with 14 - 17 years of experience in Computer Science, IT or related field   Functional Skills:   Must-Have Skills:   8+ years of hands-on experience in Data integrations, Data Management and BI technology stack.   Strong experience with one or more Data Management tools such as AWS data lake, Snowflake or Azure Data Fabric    Expert-level proficiency with Databricks and experience in optimizing data pipelines and workflows in Databricks environments.   Strong experience with Python, PySpark , and SQL for building scalable data workflows and pipelines.   Experience with Apache Spark, Delta Lake, and other relevant technologies for large-scale data processing.   Familiarity with BI tools including Tableau and PowerBI   Demonstrated ability to enhance cost-efficiency, scalability, and performance for data solutions    Strong analytical and problem-solving skills to address complex data solutions   Good-to-Have Skills:   Preferred to have experience in life science or tech or consultative solution architecture roles   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 .     .