Career Category
Manufacturing
Job Description
The Sr Manufacturing Systems Engineer – PI Data Historian is a technical leader responsible for lifecycle upgrades, maintenance, and optimization of PI Data Historian systems across Amgen’s global manufacturing network. This role is part of a PI Center of Excellence (COE) at Amgen India (AIN), supporting manufacturing sites and enterprise PI infrastructure. The engineer will collaborate with the PI Platform Lead, site system owners and cross-functional teams to ensure reliable data collection, integration, and analytics for manufacturing operations, driving lifecycle upgrades, digital transformation and operational excellence.
Key Responsibilities
Lead lifecycle upgrades, migrations, and enhancements of PI Data Historian systems across Amgen manufacturing sites.
Lead the PI Data Historian scope for capital projects across the network, ensuring adherence to Amgen technical and business standards for PI.
Serve as a technical SME for PI Historian, supporting enterprise PI infrastructure and ensuring high availability, performance, and compliance.
Collaborate with global manufacturing, automation, and IT teams to design, implement, and validate PI solutions for data acquisition, integration, and reporting.
Develop and maintain documentation, standards, and adhere to best practices for PI system architecture, security, and data governance.
Develop and maintain PI Asset Framework templates, Analyses, PI Vision displays etc. to be used across Enterprise PI and Manufacturing sites to help achieve business requirements.
Troubleshoot and resolve complex PI system issues, providing advanced support to site engineers and end users.
Drive continuous improvement initiatives, leveraging PI data for process optimization, predictive analytics, and digital manufacturing projects.
Participate in global PI COE activities, knowledge sharing, and training for site teams.
Ensure compliance with regulatory requirements and Amgen’s quality standards in all PI system activities.
Support audits, validation, and change management processes related to PI systems.
Basic Qualifications
Bachelor’s degree in engineering, Computer Science, Information Systems, or related field (or Master’s degree with relevant experience).
8+ years of experience in manufacturing systems engineering, with 3+ years focused on PI Data Historian or similar industrial data platforms.
Experience with major PI system components and technologies, including Data Archive, AF, PI Vision, PI Analyses/Notifications, WebAPI, RtReports
Experience with a wide range of PI interface/Connector (or Adapter) technologies such as OPC UA/DA, PItoPI, BACNet, RDBMS, UFL.
Experience with batch interfaces such as EMDVB, FTBatch, EFGen.
Hands-on experience with PI System lifecycle management, upgrades, and enterprise deployments.
Experience working on or leading complex upgrade or deployment projects for systems supporting critical activities.
Preferred Qualifications
Experience in pharmaceutical or regulated manufacturing environments.
Strong knowledge of PI System architecture, interfaces (OPC, MQTT, etc.), and integration with MES, ERP, and analytics platforms.
Familiarity with automation systems (PLC, SCADA), data analytics, and digital manufacturing initiatives.
Familiarity with data integration/middleware technology such as Kepware, Matrikon, HighByte, HiveMQ etc.
Familiarity with High Availability architectural patterns for the PI Data Historian components like Data Archive, AF, PI Vision, Analytics.
Familiarity with basic AWS technology stack including EC2, EBS, S3, etc.
Experience with Industry 4.0 technologies such as UNS, MQTT, Kafka, Streaming Analytics.
Excellent problem-solving, communication, and stakeholder management skills.
Experience working in global, distributed teams and supporting multiple manufacturing sites.
Experience with scripting languages like Powershell and Python is a plus.
Certifications in PI System administration or related technologies are a plus.
Work Environment
Onsite at Amgen India (Hyderabad) with collaboration across global time zones.
Participation in global PI COE meetings, lifecycle planning, and major upgrade events; occasional extended hours to support global coordination as needed.
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