Associate Director - Data Engineering

Career Category Engineering Job Description 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. What you will do The Associate Director , Enterprise Data Platforms will help transform Amgen’s Data, BI & Governance platforms through Cloud Optimization , Automation, SRE & Production Assurance . The Associate Director is responsible for leading the development, implementation and management of optimization, automation and assurance services in support of enterprise-level data platforms that enable the organization's data-driven initiatives. This role will closely collaborate with counterparts in US , and oversee the architecture, design, delivery and maintenance of cloud data platforms and pipelines critical to Amgen’s data and AI ambitions. The Associate Director will work with cross-functional teams, including data architecture, engineering & governance teams, platform owners, cloud teams and business stakeholders, to ensure sustainable operations, excellent test quality and optimized cloud spend. A key aspect of this role involves extensive experience with Amazon Web Services (AWS) and Databricks, a unified data analytics platform, to optimize big data processing, data integration, and machine learning workflows. You will be the Enterprise Engineering & Analytics' India Discipline leader for SRE’s, Automation Engineers and Cloud Engineers with roughly half of your role as management and mentorship and the other half execution as a product manager in a product team. ROLES & RESPONSIBILITIES Platform Leadership: Lead the design, implementation, and lifecycle management of enterprise data platforms including: AWS Cloud Platform: Provisioning, operations, cost optimization, and observability Databricks: Cluster management, job orchestration, security governance, and platform upgrades Data Visualization Platforms: Oversight of Tableau, Power BI, and other relevant tools Data Quality & Governance: Implement and manage tools like Collibra, Informatica DQ, or equivalent Databases : : Implement and manage Relational, No-SQL & Graph Databases. Site Reliability Engineering (SRE): Ensure resilience, availability, observability, and automated recovery mechanisms for data platforms. Drive DevOps and IaC (Infrastructure as Code) practices. Cloud FinOps: Manage cloud spend and optimize cost-performance trade-offs for AWS and Databricks. Establish governance policies and dashboards for consumption tracking. Operations & Support: Establish and oversee L2/L3 support for platform incidents, SLAs, and maintenance. Ensure platform health, upgrades, patching, and vulnerability remediation. Innovation & Roadmap Execution: Stay current with cloud-native innovations and establish strategic roadmaps for platform evolution. Lead PoCs and pilot initiatives aligned with business priorities. Collaboration: Partner with enterprise architects, product owners, engineering teams, and business stakeholders to drive data platform adoption and ensure alignment with enterprise standards. Team Leadership: Manage a team of platform engineers and vendors across global time zones. Foster a high-performance, inclusive, and collaborative team culture. Must-Have Skills: E xperience i n Designing, Implementing & Managing enterprise scale cloud Data, BI platforms, automation engineering, SRE teams for data platforms or applications. Experience with AWS/Azure, Databricks , PowerBI , Tableau, Informatica platforms Strong understanding of Cloud Infrastructure, Data and AI platforms, Data Warehouse, and data pipeline concepts and practices. Strong understanding of cloud infrastructure and data pipeline performance and cost factors, and experience in optimizing costs. Experience leading a team of 25+ people. Basic Qualifications and Experience Master’s degree in business , Information Technology, Computer Science, or a related field and 1 4 + years of relevant work experience Bachelor’s degree in business , Information Technology, Computer Science, or a related field and 16+ years of relevant work experi