What you will do In this vital role you will develop and expand digital capability focused on shaping and delivering world-class technology systems and tools for Process Development and beyond. As part of this role, you will be designing and developing robust data models, data pipelines and data products on innovative technologies as part of a product team of data scientists, business analysts, and software engineers.
- Provide technical leadership to enhance the culture of innovation, automation, and solving difficult scientific and business challenges. Technical leadership includes providing vision and direction to develop scalable reliable solutions.
- Provide leadership to select right-sized and appropriate tools and architectures based on requirements, data source format, and current technologies
- Develop, refactor, research and improve Weave cloud platform capabilities. Understand business drivers and technical needs so our cloud services seamlessly, automatically, and securely provides them the best service.
- Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development
- Build strong partnership with partner
- Build data products and service processes which perform data transformation, metadata extraction, workload management and error processing management to ensure high quality data
- Provide clear documentation for delivered solutions and processes, integrating documentation
- Collaborate with business partners to understand user stories and ensure technical solution/build can deliver to those needs
- Work with cross-functional teams to design and document effective and efficient solutions.
- Develop change management strategies and assist in their implementation.
- Mentor junior data engineers on best practices in the industry and in the Amgen data landscape
What we expect of you We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications:
- Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years in Life Science / Biotechnology / Pharmacology / Information Systems experience OR
Preferred Qualifications:
- Excellent communication and interpersonal skills, with the ability to work collaboratively with multi-functional GTM, product, and engineering teams.
- Minimum of 10+ years overall Software Engineer or Cloud Architect experience
- Minimum 3+ years in architecture role using public cloud solutions such as AWS
- Experience with AWS Technology stack
Good-to-Have Skills: - Familiarity with big data technologies, AI platforms, and cloud-based data solutions.
- Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams.
- Passion for technology and customer success, particularly in driving innovative AI and data solutions.
- Experience working with teams of data scientists, software engineers and business experts to drive insights
- Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.
- Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc)
- Strong understanding of relevant data standards and industry trends
- Ability to understand new business requirements and prioritize them for delivery
- Experience working in biopharma/life sciences industry
- Proficient in one of the coding languages (Python, Java, Scala)
- Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.).
- Experience with Schema Design & Dimensional data modeling.
- Experience with software DevOps CI/CD tools, such Git, Jenkins, Linux, and Shell Script
- Hands on experience using Databricks/Jupyter or similar notebook environment.
- Experience working with GxP systems
- Experience working in an agile environment (i.e. user stories, iterative development, etc.)
- Experience working with test-driven development and software test automation
- Experience working in a Product environment
- Good overall understanding of business, manufacturing, and laboratory systems common in the pharmaceutical industry, as well as the integration of these systems through applicable standards.
Soft Skills: - Excellent analytical and troubleshooting 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
