Principal Solution Architect

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 strategyCollaborate with Business, Program Management, Data Engineering and Analytic Engineering teams to deliver data solutionsResponsible for design, develop, optimize, delivery and support of Data solutions on AWS and Databricks architectureLeverage 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 technologiesDefine 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 changesWork 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 sessionsOverall 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 metEnsure 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/toolsWork as part of team in a SAFe Agile/Scrum modelBasic Qualifications and Experience:Masters degree with years of experience in Computer Science, IT or related field ORBachelors degree with years of experience in Computer Science, IT or related fieldFunctional 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 FabricExpert-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 PowerBIDemonstrated ability to enhance cost-efficiency, scalability, and performance for data solutionsStrong analytical and problem-solving skills to address complex data solutionsGood-to-Have Skills:Preferred to have experience in life science or tech or consultative solution architecture rolesExperience working with agile development methodologies such as Scaled Agile.Professional CertificationsAWS Certified Data Engineer preferredDatabricks Certificate preferredSoft Skills:Excellent analytical and troubleshooting skills.Strong verbal and written communication skillsAbility to work effectively with global, virtual teamsHigh degree of initiative and self-motivation.Ability to manage multiple priorities successfully.Team-oriented, with a focus on achieving team goalsStrong presentation and public speaking skills.