ABOUT AMGENAmgen 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 ROLERole Description:We are seeking a seasoned Solution Architect to drive the architecture, development and implementation of data solutions to A

What you will do

• 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

What we expect of you

• Doctorate Degree and 5 years of experience in Computer Science, IT or related field OR Master’s degree with 8 - 12 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 9 - 13 years of experience in Computer Science, IT or related field
• 7+ years of hands-on experience in Data integrations, Data Management and BI technology stack
• 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

Must-Have Skills

• Must-Have Skills: 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
• 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