Data Integration Lead (Aveva, OT, MES)

Cognizant

Frankfort (KY)

On-site

USD 110,000 - 128,000

Full time

13 days ago

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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
401(k) Plan
Paid holidays plus PTO
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Job summary

Cognizant is seeking an AVEVA PI Integration Lead in Kentucky to design, implement, and optimize enterprise-wide data integration linking manufacturing operations with business systems. You will work with automation engineers, IT/OT teams, data architects, and stakeholders to deliver scalable, secure data solutions.

You will oversee PI System components, integrate with DCS/SCADA/MES/ERP, and build PI AF templates and dashboards, driving governance, performance, and cyber security.

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, Instrumentation, IT or related field.
  • 5+ years hands-on AVEVA PI System experience including PI Data Archive/PI AF/PI Vision/DataLink.
  • Experience integrating DCS/SCADA/MES/PLCs/ERP in manufacturing environments.
  • Knowledge of OPC UA/DA, Modbus, MQTT and data acquisition tech.
  • Scripting and automation skills: Python, SQL, PowerShell, .NET; strong IT/OT security.

Responsibilities

  • Lead architecture, deployment and lifecycle management of AVEVA PI System components.
  • Design integrations between DCS/SCADA/MES/PLCs and enterprise apps for real-time visibility.
  • Develop PI Asset Framework structures, templates and dashboards to support decisions.
  • Establish data governance, performance, cybersecurity and data integrity standards.
  • Provide technical leadership, troubleshooting, and mentorship; support upgrades and DR plans.

Skills

AVEVA PI System
DCS/SCADA/MES/ERP
OPC UA/DA
Modbus
MQTT
Python
SQL
PowerShell
.NET

Education

Bachelor’s degree in Engineering/CS/Instrumentation/IT

Job description

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.

About the role

As an AVEVA PI Integration Lead, you will make an impact by designing, implementing, and optimizing enterprise-wide industrial data integration solutions that connect manufacturing operations with business systems. You will be a valued member of the Digital Manufacturing team and work collaboratively with automation engineers, manufacturing operations, IT/OT teams, data architects, and business stakeholders to deliver scalable, secure, and reliable data solutions.

In this role, you will:
  • Lead the architecture, deployment, and lifecycle management of AVEVA PI System components, including PI Data Archive, PI AF, PI Vision, PI Integrators, and data connectors.
  • Design and implement integrations between manufacturing systems such as DCS, SCADA, MES, PLCs, and enterprise applications to enable real-time operational visibility and analytics.
  • Develop and maintain PI Asset Framework structures, templates, dashboards, and visualizations that support operational and business decision-making.
  • Establish data governance standards and ensure high levels of system performance, reliability, cybersecurity, and data integrity.
  • Provide technical leadership, troubleshooting expertise, and mentorship while supporting system upgrades, disaster recovery planning, and continuous improvement initiatives.
Work model

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 3-4 days a week in a client or Cognizant office.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered
  • Bachelor’s degree in Engineering, Computer Science, Instrumentation, Information Technology, or a related discipline.
  • 5+ years of hands-on experience with the AVEVA PI System, including PI Data Archive, PI AF, PI Vision, PI DataLink, and PI Integrators.
  • Strong experience integrating industrial systems such as DCS, SCADA, MES, PLCs, and ERP platforms within manufacturing environments.
  • Deep knowledge of industrial communication protocols including OPC UA/DA, Modbus, MQTT, and related data acquisition technologies.
  • Experience with scripting and automation technologies such as Python, SQL, PowerShell, or .NET, along with strong understanding of IT/OT architecture and cybersecurity best practices.
These will help you stand out
  • AVEVA PI System certifications.
  • Experience working in regulated industries such as Life Sciences, Pharmaceuticals, Chemicals, or Oil & Gas.
  • Knowledge of validation lifecycle documentation and GxP compliance requirements, including IQ/OQ/PQ processes.
  • Experience integrating PI data with cloud platforms such as Azure or AWS and analytics tools such as Power BI or Seeq.
  • Familiarity with manufacturing platforms such as Emerson DeltaV, Syncade, POMSnet, or similar MES and automation technologies.
Salary and Other Compensation

Applications will be accepted until the role is filled.

The annual salary for this position is between $110,000 - $128,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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