**Senior Manager - Data Engineering (EDSE)** **About the Role** **Let's do this. Let's change the world.** We are looking for an experienced **Senior Manager, Data Engineering** to lead strategic data engineering initiatives within Enterprise Data Strategy & Engineering (EDSE). This role will guide high-performing engineering teams, deliver enterprise-scale data platforms and data products, modernize the Enterprise Data Fabric (EDF), and enable advanced analytics, AI, and digital transformation across Finance, Supply Chain, Research & Development, Operations, and other business domains. **Key Responsibilities** **Strategic Leadership** + Lead and develop data engineering teams responsible for enterprise data products, platforms, and mission-critical data solutions. + Define and execute the domain data engineering roadmap in alignment with EDSE and enterprise priorities. + Advance up-to-date data engineering, cloud, AI, automation, and observability capabilities. + Collaborate with business stakeholders, product teams, architecture, and platform engineering groups to deliver measurable business outcomes. **Delivery & Execution** + Oversee the design, development, deployment, and support of scalable data products and pipelines. + Ensure strong delivery across build, enhancement, RunOps, and KTLO activities. + Manage commitments, capacity, priorities, risks, and vendor execution. + Set engineering standards, quality practices, and performance measures across the team. **Enterprise Data Platform & Architecture** + Lead implementation of the Enterprise Data Fabric (EDF), semantic layer, data products, and governance initiatives.



+ Work with Enterprise Data Architecture and Platform Engineering teams to deliver scalable, secure, and reusable solutions. + Promote metadata-driven engineering, automation, observability, data quality, and governance practices. **AI & Innovation** + Champion AI, traditional ML, Generative AI, Agentic AI, and automation to improve engineering efficiency and business value. + Assess and adopt emerging technologies that accelerate delivery, improve data accessibility, and strengthen platform reliability. + Drive innovation through reusable accelerators, engineering frameworks, and platform modernization. **People Leadership** + Build, mentor, and develop high-performing data engineering teams. + Create a culture of technical excellence, collaboration, innovation, and continuous learning. + Oversee performance management, career development, succession planning, and talent acquisition. + Lead global, multi-vendor delivery teams aligned to organizational goals. **Required Qualifications** + 12+ years of experience in data engineering, data platforms, analytics engineering, or related fields. + 5+ years of leadership experience managing engineering teams and large-scale delivery programs. + Strong experience with Databricks, Spark, PySpark, SQL, Python, AWS, and cloud-native data architectures. + Proven ability to build enterprise-scale data platforms, data products, and integration solutions. + Strong understanding of Data Fabric, Data Mesh, Lakehouse, metadata management, and governance. + Experience working in Agile or SAFe delivery environments. + Excellent communication, stakeholder management, and leadership capabilities.

📌 Senior Manager Data Engineering (Hyderabad)
🏢 AMGEN
📍 Hyderabad