Senior Backend Engineer - Microservices

Sr Data Platform Lead Career Category Information Systems Job Description Role Name: Data Platform Lead Join Amgen’s Mission of Serving Patients 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. Data Platform Lead 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. What you will do Roles & Responsibilities: Act as a platform lead for delivery of data platform capabilities that enable next-gen data platform architecture, with a strong focus on Databricks platform and DQ platform features and services. Evaluate and enable Databricks platform capabilities through technical assessments and proof‑of‑concepts (PoCs), ensuring alignment with next-gen data platform architectural patterns and enterprise standards. Design, build, and productionize reusable platform frameworks, accelerators, and reference implementations that can be leveraged by next-gen data platform delivery teams (excluding ownership of data pipeline architecture or implementation). Enable data governance, metadata layer, and data bundle capabilities by designing and implementing platform‑level integrations between Databricks and Collibra, Amgen’s enterprise data governance platform. Build platform‑level tooling and automation to support proactive governance, cost optimization, and best‑practice enforcement across Databricks and related data platform services. Define and enable platform observability capabilities , including KPIs, metrics, and telemetry for monitoring performance, usage, reliability, and cost of Databricks services. Identify and implement governed self‑service platform capabilities for data engineers through self-service portal, using Python‑based microservices deployed on Docker and Kubernetes. Lead user enablement and adoption initiatives , including onboarding content, guided learning experiences, workshops, and best‑practice sharing for the Databricks user community. Drive engineering excellence and adoption of AI across platform capabilities and solutions built, promoting modern engineering practices, automation, and responsible use of AI‑driven features. Enable key business programs and strategic initiatives by translating initiative‑driven requirements into scalable, reusable data platform capabilities , in alignment with next-gen data platform principles