System Engineer - Solution Integrations

We are seeking a Systems Engineer, Solutions & Integration to improve technical readiness across industrial data services and partner integrations. This role works across vendors, customers, edge environments, cloud platforms, cybersecurity stakeholders, and internal teams to ensure integrations are validated before customer delivery. You will focus on vendor integrations, edge to cloud data flows, reference architectures, technical standards, cybersecurity and OT readiness, pre PoC validation, and deployment readiness. The goal is to reduce integration risk, cybersecurity surprises, vendor ambiguity, and rework during PoCs, pilots, and production deployments. This is a hands on role that converts opportunities into executable technical plans by defining integration requirements, validating data flows, identifying risks, coordinating testing, and establishing the technical evidence needed for successful deployment. **Responsibilities** **Reference Architecture and Technical Baseline** - Own technical readiness across DaaS and partner application integrations. - Define repeatable architecture patterns for industrial data services across edge systems, control system data, cloud services, partner platforms, customer endpoints, and platform services. - Create reference architectures, integration diagrams, data flow views, deployment patterns, validation plans, and technical readiness checklists. - Define the technical baseline for secure data acquisition, buffering, monitoring, cloud processing, customer delivery, and steady state support. - Identify integration gaps, network constraints, cybersecurity requirements, vendor dependencies, and operational risks before PoCs or pilots begin. **Cybersecurity and OT Readiness** - Create reusable cybersecurity and OT evidence packages for customer IT and OT reviews. - Maintain standard topology diagrams, data flow diagrams, firewall rule templates, DMZ, VLAN, VPN, and routing patterns, identity and access assumptions, logging evidence, and remote access patterns. - Support customer cybersecurity, MoC, and OT approval processes with clear technical documentation and repeatable review artifacts. - Ensure integration patterns account for segmentation, auditability, hardening, patching, remote access, change control, and customer approval expectations. **Data Standards and Assurance** - Define standards for source to target data assurance, data mapping, customer naming conventions, unit handling, latency, completeness, frequency, validity, and source versus target comparison. - Define how data quality signals are monitored, surfaced, alerted, and acted on across internal teams and customer facing workflows. - Support standards for historical backfill, replay, corrected history workflows, local versus cloud historian boundaries, and customer delivery validation. - Create reusable templates for customer standards management, data mapping, endpoint setup, and delivery validation. **Pre PoC Validation and Technical Gates** - Define pre PoC validation gates for customer and partner opportunities. - Validate that required systems, data sources, endpoints, access paths, network assumptions, and support expectations are understood before delivery begins. - Create repeatable technical validation plans for PoCs, pilots, partner integrations, and production deployments. - Develop repeatable validation procedures, troubleshooting methodologies, and diagnostic playbooks that improve deployment success, reduce integration risk, and accelerate issue resolution. - Provide clear go or no go input when technical readiness is incomplete or customer commitments create delivery risk. **Vendor and Partner Coordination** - Work with vendors and partner engineering teams to define integration responsibilities, data handoffs, technical boundaries, support expectations, and escalation paths. - Define how partner platforms fit into the NOV service wrapper for industrial data acquisition, data delivery, video, file wor…