The Senior Data Engineer – Aspentech IP.21 Lead is responsible for the implementation, optimization, and support of industrial data infrastructure centered around the AspenTech IP.21 historian platform. This role focuses on enabling reliable data collection, historization and reporting across manufacturing environments while ensuring seamless integration with connected systems.
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Key Responsibilities
Lead the implementation, configuration, and support of AspenTech IP.21 historian systems.
Oversee data collection, historization, and reporting processes across industrial environments.
Manage and mentor a team of 3–5 engineers, ensuring delivery quality and technical alignment.
Design and optimize SQL-based reporting solutions for operational and business use cases.
Configure and maintain key IP.21 modules (AORA, CIM-IOs, Cloud Connect, ONE Process Explorer, Excel add-ins).
Ensure reliable connectivity between data sources (e.g., PLCs, SCADA systems) and IP.21.
Collaborate with cross‑functional stakeholders (IT/OT, Manufacturing, Engineering) to align data architecture with business needs.
Identify and resolve system performance, data quality, and integration issues.
Support integration with external platforms and enterprise systems.
Establish best practices for historian governance, data modeling, and reporting standards.
Required Skills & Experience
Degree in Engineering, Computer Science, Information Systems, or a related field.
3–5 years of hands‑on experience with AspenTech IP.21 historian platform.
Strong expertise in IP.21 modules: AORA, CIM‑IOs, Cloud Connect, ONE Process Explorer, and Excel add‑ins.
Advanced proficiency in SQL, with a focus on reporting and data extraction.
Proven experience in industrial data systems, including data collection, historization, and reporting.
Experience leading or mentoring small technical teams.
Strong understanding of OT data flows and industrial automation environments.
Key Skills
Strong leadership and team coordination capabilities
Deep expertise in industrial data historians and data architecture
Advanced SQL reporting and data querying skills
Ability to design scalable and reliable data pipelines
Strong problem‑solving and troubleshooting mindset
Ability to translate data infrastructure into business and operational value
Clear communication with both technical and non‑technical stakeholders
Additional Considerations
Experience with connectivity platforms such as Kepware is highly valued.
Knowledge of other historian or data platforms (e.g., AVEVA PI, Canary Labs, HighByte) is a strong advantage.
Experience in manufacturing or industrial environments is preferred.
This role is ideal for a senior engineer looking to combine deep technical expertise in industrial data systems with team leadership and strategic impact. xpzdshu
AG Solution is an Equal Opportunity Employer.
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