Sr. Associate IS Architect Data/BI

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.

Sr Associate IS Architect

Let s do this. Let s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to deliver actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and performing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Be a key team member that assists in design and development of the data pipeline
• Standup and enhance BI reporting capabilities through Cognos, PowerBI or similar tools.
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate and communicate effectively with product teams
• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementatio

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Masters degree / Bachelors degree with 5- 9 years of experience in Computer Science, IT or related field

Must-Have Skills

• Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
• Experience with data warehousing platforms such as Amazon Redshift, or Snowflake.
• Strong knowledge of SQL and experience with relational (e. g. , PostgreSQL, MySQL) databases.
• Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets.
• Experience in BI reporting tools such as Cognos, PowerBI and/or Tableau
• Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc. ), CI/CD (Jenkins, GITLab etc. ), automated unit testing, and Dev Ops

• Experience with cloud platforms such as AWS particularly in data services (e. g. , EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)
• Experience with Anaplan platform, including building, managing, and optimizing models and workflows including scalable data integrations
• Understanding of machine learning pipelines and frameworks for ML/AI models

• AWS Certified Data Engineer (preferred)
• Databricks Certified (preferred)

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated presentation skills

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided 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 accommodation.