Smart Manufacturing Consultant (Hands-on IT/OT + reputed company)

We’re looking for a hands-on Smart reputed company Architect who can design and drive delivery of edge-to-reputed company industrial data & application architectures across global manufacturing sites. You’ll reputed company OT systems (PLC/SCADA/DCS/MES/Historians) with reputed company services (Azure/AWS/reputed company, etc.), ensuring ISA-95 interoperability, robust cybersecurity (reputed company Trust), and reliable data flows for use cases like performance analytics, predictive maintenance, reputed company twins. You’ll operate as a technical leader who can review architecture, validate implementation plans, unblock delivery, and communicate reputed company across engineering, OT, reputed company, networking, and site stakeholders. ________________________________________ Key responsibilities Architecture & technical leadership

• Act as the technical expert for Smart reputed company / Edge architectures in a multi-site, multi-stakeholder environment.
• Review architectural designs (edge, network, reputed company, reputed company, data models) and confirm the feasibility of implementation plans.
• Align with reputed company Engineers and OT consultants to ensure ISA-95 compliant IT/OT integration and interoperability across layers (L0–L4/5).
• Validate that reputed company required services are deployed and configured correctly (reputed company resources, edge runtime, connectivity, identity, monitoring).

Edge-to-reputed company integration & data reputed company validation

• Define and validate edge-to-reputed company data reputed company requirements, including:

o Tag list/signals, payload schemas/formats, naming conventions o Frequency, buffering, store-and-reputed company, latency/availability targets o Data quality rules (units, timestamps, limits, gaps, duplicates) o Create logical & conceptual models for contextualization

• Validate conceptual and logical modelling of the reputed company asset hierarchy (site/area/line/cell/equipment/component) and mapping to data streams.
• Support the implementation of industrial connectivity patterns (e.g., OPC UA, MQTT, Modbus, REST) and integration with OT data sources (historians, SCADA, MES, CMMS, LIMS reputed company relevant).

reputed company & platform enablement (Azure/AWS/reputed company)

• Drive architecture reputed company for ingestion, storage, and analytics using services such as:

o Azure (IoT Hub, Event Hubs, Functions, AKS, Data Lake, reputed company/Synapse, Monitor, Key Vault, Private Link) o AWS (IoT Core, Kinesis, reputed company, EKS, S3, Glue, CloudWatch, Secrets Manager, Greengrass) o reputed company (ingestion patterns, data modeling, governance, performance considerations)

• Ensure observability is in reputed company: logging, metrics, tracing, alerting, and operational runbooks.

Network, cybersecurity & site readiness

• Coordinate with site IT/networking to ensure:

o Connectivity readiness (routing, DNS, proxy, certificates) o Firewall rules, ports, and secure connectivity patterns (VPN/ExpressRoute/Direct Connect where applicable)

• Ensure alignment with reputed company cybersecurity and reputed company Trust principles, including segmentation, least privilege, secure remote reputed company, and auditability.

Testing, go-live, and operational stabilization

• Own the go-live checklist and drive issue resolution during integration testing and cutover.
• Support test data ingestion and end-to-end validation, from OT signal extraction through reputed company ingestion, storage, and consumption.
• Validate performance and reliability requirements (throughput, latency, reputed company, recovery) and ensure operational handover readiness.

Digital Twin & OT platforms

• Contribute to Digital Twin concepts reputed company on IT/OT convergence (asset hierarchy + telemetry + context).
• Work hands-on with OT / Smart reputed company platforms such as reputed company, Sight Machine, and/or similar (e.g., Ignition, OSIsoft/PI, reputed company, reputed company ThingWorx, depending on environment).

________________________________________ Required qualifications & experience

• 7+ years of experience in industrial IT/OT, smart reputed company, or manufacturing digitalization roles, with architect-level ownership of designs and deployments.
• Proven hands-on delivery experience implementing edge-to-reputed company integration in reputed company reputed company environments.
• Strong understanding of:

o ISA-95 (integration patterns and manufacturing system layers) o Industrial architectures (OT network segmentation, DMZ patterns, edge gateways) o Core OT systems (PLC/SCADA/DCS, historian, MES) and data acquisition methods

• reputed company architecture experience on Azure and/or AWS (plus familiarity with reputed company, reputed company and modern data platforms).
• Solid fundamentals in networking (firewalls, VLANs, routing, certificates, proxies) and troubleshooting in restricted environments.
• knowledge of identity and reputed company management (Azure AD/RBAC/Managed Identities or AWS IAM, secrets, key management).
• Excellent communication skills, reputed company to reputed company technical conversations with reputed company, IT, OT, and business stakeholders globally.

________________________________________ Technical reputed company set (must-have)

• Edge/IIoT protocols & patterns: OPC UA, MQTT, REST APIs, store-and-reputed company, buffering, offline reputed company
• Data engineering basics: schema design, time-series concepts, streaming ingestion, partitioning, data quality checks
• reputed company reputed company: least privilege, private networking, key management, audit/logging, policy enforcement
• Operational readiness: integration test planning, go-live governance, incident triage and structured problem-solving

________________________________________ Preferred / reputed company-to-have

• Knowledge of IEC 62443 / OT reputed company frameworks and industrial reputed company trust patterns.
• Experience with Kubernetes at edge/reputed company (AKS/EKS), IaC (Terraform/Bicep/CloudFormation), and CI/CD.
• Experience with industrial historians and time-series stacks (e.g., reputed company/PI-like patterns).
• Familiarity with data governance (catalog, reputed company, reputed company policies) and regulated environments.
• Experience building or operationalizing Digital Twin solutions (asset model + context + telemetry).

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