
Smart Factory Architect
Lingaro
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- Act as the technical expert for Smart Factory / Edge architectures in a multi-site, multi-stakeholder environment.
- Review architectural designs (edge, network, cloud, security, data models) and confirm the feasibility of implementation plans.
- Align with Cloud Engineers and OT consultants to ensure ISA-95 compliant IT/OT integration and interoperability across layers (L0–L4/5).
- Validate that all required services are deployed and configured correctly (cloud resources, edge runtime, connectivity, identity, monitoring).
- Define and validate edge-to-cloud data flow requirements, including:
- Tag list/signals, payload schemas/formats, naming conventions
- Frequency, buffering, store-and-forward, latency/availability targets
- Data quality rules (units, timestamps, limits, gaps, duplicates)
- Create logical & conceptual models for contextualization
- Validate conceptual and logical modelling of the factory 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 when relevant).
- Drive architecture decisions for ingestion, storage, and analytics using services such as:
- Azure (IoT Hub, Event Hubs, Functions, AKS, Data Lake, Databricks/Synapse, Monitor, Key Vault, Private Link)
- AWS (IoT Core, Kinesis, Lambda, EKS, S3, Glue, CloudWatch, Secrets Manager, Greengrass)
- Snowflake (ingestion patterns, data modeling, governance, performance considerations)
- Ensure observability is in place: logging, metrics, tracing, alerting, and operational runbooks.
- Coordinate with site IT/networking to ensure:
- Connectivity readiness (routing, DNS, proxy, certificates)
- Firewall rules, ports, and secure connectivity patterns (VPN/ExpressRoute/Direct Connect where applicable)
- Ensure alignment with factory cybersecurity and Zero Trust principles, including segmentation, least privilege, secure remote access, and auditability.
- 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 cloud ingestion, storage, and consumption.
- Validate performance and reliability requirements (throughput, latency, resilience, recovery) and ensure operational handover readiness.
- Contribute to Digital Twin concepts built on IT/OT convergence (asset hierarchy + telemetry + context).
- Work hands-on with OT / Smart Factory platforms such as AVEVA, Sight Machine, and/or similar (e.g., Ignition, OSIsoft/PI, Tulip, PTC ThingWorx, depending on environment).
Requirements
- 7+ years of experience in industrial IT/OT, smart factory, or manufacturing digitalization roles, with architect-level ownership of designs and deployments.
- Proven hands-on delivery experience implementing edge-to-cloud integration in real factory environments.
- Strong understanding of:
- ISA-95 (integration patterns and manufacturing system layers)
- Industrial architectures (OT network segmentation, DMZ patterns, edge gateways)
- Core OT systems (PLC/SCADA/DCS, historian, MES) and data acquisition methods
- Cloud architecture experience on Azure and/or AWS (plus familiarity with Snowflake, databricks and modern data platforms).
- Solid fundamentals in networking (firewalls, VLANs, routing, certificates, proxies) and troubleshooting in restricted environments.
- knowledge of identity and access management (Azure AD/RBAC/Managed Identities or AWS IAM, secrets, key management).
- Excellent communication skills, able to lead technical conversations with security, IT, OT, and business stakeholders globally.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
edge architecturescloud architecturedata modelingdata quality rulesnetworkingidentity and access managementindustrial connectivity patternsobservabilitydigital twin conceptsintegration testing
Soft Skills
communication skillsleadershipproblem-solvingcollaborationstakeholder management