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Intime Infotech Inc Logo
Data Integration Lead

Intime Infotech Inc

 

Parsippany, NJ, USA

Posted On: 15+ days ago
Experience: 7+ years
Availability: Remote
Openings: 1
Category: Data Integration Lead
Tenure: Contract - Corp-to-Corp
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Description

Architect and govern secure, scalable OT-to-IT data integration across plant systems, DMZ layers, and the Unified Data Platform.

This role is remote.

Responsibilities

  • Define enterprise reference architecture for OT data egress, implementing OPC UA servers, MQTT/AMQP brokers, data diodes, and store-and-forward buffering strategies.
  • Build extraction pipelines from PHD/PI historians, DCS/PLC/SCADA, and LIMS, applying time-series conditioning, event frames, and asset models.
  • Enforce ISA-62443 security controls, RBAC, and credential vaulting while managing MOC, outage coordination, and incident response for OT data flows.
  • Standardize onboarding patterns for new sites, including network zones, firewall rules, certificates, and endpoint hardening.
  • Partner with controls, process engineering, and AI teams to certify datasets and drive roadmap prioritization across OT, IT, and business stakeholders.

Required Skills

  • 7+ years in OT/controls or OT data integration across DCS/PLC/SCADA and enterprise historians.
  • Hands-on experience with Honeywell PHD or AVEVA PI, including interfaces, AF/asset models, and event frames.
  • Strong knowledge of OPC UA, MQTT, and gateway/broker architectures (Kepware/Ignition).
  • Proven experience designing DMZ/broker architectures, firewall rules, and secure data egress without direct control-net reads.
  • Proficiency in SQL, Python, and Windows Server services for data validation and utility scripting.
  • Familiarity with time-series conditioning, ISA-88/95 batch concepts, and data quality scoring.
  • Working knowledge of security frameworks (ISA/IEC 62443), least-privilege access, and secrets/certificates management.

Preferred Skills

  • Experience with Azure OT ingestion patterns: IoT Edge, Event Hubs, Kafka, and Databricks/Fabric streaming.
  • Enterprise-scale PI AF/EF or PHD asset/event modeling.
  • Knowledge of alarm rationalization (ISA-18.2) and SAP S/4HANA data touchpoints.

Education

Any Gradute

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