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Data Integration Lead

Intime Infotech Inc

 

Parsippany, NJ, USA

Posted On: 30+ days ago
Experience: 7+ years
Availability: Remote
Openings: 1
Category: Data Integration Lead
Tenure: Contract - Corp-to-Corp
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Description

 

 

Core responsibilities

Architecture & Connectivity (OT→DMZ→IT)

  • Own and evolve the enterprise reference architecture for secure, scalable OT-to-IT data integration across plant systems, DMZ layers, and the Unified Data Platform
  • Provide architectural oversight to ensure all integrations align with enterprise design principles and future analytics/AI needs.
  • Define and govern enterprise standards for OT data integration, including protocols, data models, security, and data quality.
  • Create reusable onboarding patterns, templates, and playbooks to enable consistent, scalable integration across sites.
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  • Define and operate defensible architectures for OT data egress: OPC UA servers, MQTT/AMQP brokers, data diodes/one-way gateways, and DMZ nodes; prohibit direct control-network access.
  • Design store-and-forward and buffering strategies to protect control systems and ensure data continuity during outages.
  • Standardize onboarding patterns for new plants/units (network zones, firewall rules, certificates, endpoint hardening).

Time-Series & Event Modeling

  • Build/oversee extraction from PHD/PI historians, DCS/PLC/SCADA, LIMS, and lab instruments; implement event frames (batches, phases, grade changes), alarm/event streams, and equipment hierarchies (asset models/AF).
  • Condition signals (resampling, dead-banding, interpolation, outlier/sensor validation), apply units/calibration metadata, and align to production calendars and ISA-88/95 structures.
  • Publish contracted schemas into the UDP (landing → curated → semantic) for consumption by Power BI, APIs, and ML.
  • Design reusable industrial data products (assets, batches, KPIs). Enable semantic layer readiness for analytics and AI workloads

 

Reliability, Security & Compliance

  • Implement observability: freshness, gap detection, tag quality/availability, schema drift; build dashboards and alerts; own on-call runbooks and incident response for OT data flows.
  • Enforce ISA-62443/ISA-99 controls with Cyber/IT (RBAC, credential vaulting, patching, vulnerability remediation).
  • Lead and document MOC/change control, outage coordination, and pre-/post-validation with plant teams.
  • Define SLAs/SLOs for OT data pipelines. Implement automated data quality scoring and lineage tracking

 

Collaboration & Delivery

  • Partner with plant controls, process engineering, Reliability/Maintenance, and HSE to prioritize tags, events, and KPIs.
  • Work with the Manager, Unified Data Platform & AI Engineering to land curated OT data with lineage/DQ and with the Reporting & BI team to certify datasets.
  • Guide vendors (historians/SCADA integrators) with clear DoD, acceptance tests, and knowledge-transfer milestones.
  • Act as the single thread leader for OT data integration across plants. Drive roadmap and prioritization across OT, IT, and business stakeholders

 

Required qualifications

  • Minimum 7 years' in OT/controls or OT data integration across DCS/PLC/SCADA and historians.
  • Experience delivering production-grade data pipelines and working with enterprise data platforms (e.g., UDP, Lakehouse)
  • Hands-on with Honeywell PHD and/or AVEVA PI (interfaces/connectors, AF/asset models, event frames).
  • Strong knowledge of OPC UA, MQTT (Sparkplug B a plus), Kepware/Ignition or equivalent gateways/brokers.
  • Proven experience implementing DMZ/broker architectures, firewall rules, certificates, and no control-net reads designs.
  • Time-series conditioning and event modeling; exposure to ISA-88/95 and batch/phase concepts.
  • Scripting and data tooling: SQL, Python (validation/utilities), and comfort with Windows Server services.
  • Familiarity with SAP S/4HANA data touchpoints and LIMS integrations for sample results and quality events.
  • Working knowledge of security frameworks (ISA/IEC 62443), least-privilege, secrets/cert management.

 

Preferred qualifications

  • Experience with Azure OT ingestion patterns: IoT Edge, Event Hubs, Kafka, Databricks/Fabric streaming.
  • PI AF/EF or PHD equivalent asset/event modeling at enterprise scale.
  • Knowledge of alarm rationalization (ISA-18.2), sensor validation, calibration workflows.
  • Exposure to HSE/EMIS systems and environmental reporting data.
  • Certifications: ISA-62443, CCNA-Industrial, or vendor historian credentials

Education

Any Gradute

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