Sr Manufacturing Systems Engineer - PI Data Historian
On-siteHyderabad, Telangana, India
Job Summary
Lead lifecycle upgrades, migrations, and enhancements of PI Data Historian systems across Amgen manufacturing sites while serving as the technical SME for enterprise infrastructure. Collaborate with global teams to design, implement, and validate PI solutions for data acquisition, integration, and reporting, ensuring adherence to technical standards for capital projects. Develop and maintain documentation, Asset Framework templates, and PI Vision displays to support business requirements, while troubleshooting complex system issues and driving continuous improvement initiatives. Participate in global PI Center of Excellence activities, including knowledge sharing, training, and support for audits and validation processes. Onsite in Hyderabad with occasional extended hours for global coordination.
Required 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
- 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
- Onsite at Amgen India (Hyderabad)
- Participation in global PI COE meetings, lifecycle planning, and major upgrade events; occasional extended hours to support global coordination as needed
Desired 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
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