Job Specific Knowledge\: The Solutions Architect must have deep expertise in designing and implementing integrated digital solutions across complex industrial environments, with hands-on experience developing robust solution and data architectures that support real-time operations, advanced analytics, and scalable digital ecosystems. A strong understanding of Digital Twin technologies, data ingestion pipelines, and industrial IoT frameworks is essential, particularly within asset-intensive industries. The role requires familiarity with the entire technology stack—from edge data capture and control systems such as SCADA and PLCs to cloud-based analytics platforms—and the ability to align these components within an enterprise-wide architecture. The ideal candidate will be well-versed in data governance principles, system interoperability, and cyber-physical integration to ensure solutions are both technically sound and operationally effective. Responsibilities include developing comprehensive architectures across technology, application, data, integration, and security domains aligned with client reference models and delivery requirements; producing detailed implementation artifacts such as infrastructure diagrams, network segmentation schemes, platform deployment views, and system interface specifications; translating enterprise architecture and program objectives into actionable designs that guide procurement and vendor assessment; and applying architectural governance to ensure compliance with standards like IEC 62443, ISA-95, OPC UA, MQTT, and Namur Open Architecture. The Solutions Architect will collaborate closely with internal teams and client stakeholders—including OT, IT, cybersecurity, and engineering—to gather requirements, validate assumptions, and coordinate architectural inputs, while defining integration and interoperability models across ISA-95 levels 1 through 4 to support hybrid edge/cloud deployments and secure segmented networks. Maintaining traceability of business and functional requirements through architecture artifacts using tools such as Orbus Infinity is also a key responsibility.
Industry Specific Experience\: The ideal candidate will have over 15 years of experience delivering digital solutions within asset-heavy industries, specifically in Oil & Gas and/or Mining. This experience should include working closely with operational, engineering, and IT teams to design and implement systems that improve asset performance, operational efficiency, and safety.
Education – Qualifications, Accreditation, Training\:The candidate should hold a Bachelor’s degree in Information Technology, Computer Science, Engineering, or a closely related field. A strong academic foundation in system architecture, software development, or data engineering is important, complemented by practical, hands-on experience in implementing digital solutions within industrial environments. Advanced certifications such as TOGAF, AWS/GCP/Azure Certified Solutions Architect, or other recognized enterprise architecture credentials are highly valued.
HSE Capability Competent
IT Skills\: The Solutions Architect must have a strong command of industrial IT and OT systems, with hands-on experience in technologies such as OPC UA, ETL pipelines, IoT frameworks, and real-time data platforms. Proficiency in integrating data from control systems (e.g., SCADA, DCS, PLCs) into cloud or hybrid environments is essential, as is an understanding of edge computing and time-series data management. Familiarity with Digital Twin platforms like CDF, iTwin, AIM, SDx is highly desirable. The candidate should also be comfortable working across a variety of programming and scripting environments (e.g., Python, SQL) and have a solid understanding of API-based architectures, data security, and systems interoperability in industrial settings.
People Skills\: Effective communicator and team leader, capable of translating complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
Other\: Team collaboration, strong listening skills, attention to details, problem solving attitude, diplomatic but firm.
* Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field. Certifications in cloud or enterprise architecture (e.g., AWS/GCP/Azure Certified Architect, TOGAF, SAFe Architect) are highly desirable. Deep experience in solution architecture spanning technology, application, data, and integration domains. Strong expertise in infrastructure and connectivity architectures, including segmented networks, edge computing, and cybersecurity aligned with IEC 62443 and Zero Trust principles. Proven ability to develop and present high-fidelity architecture artifacts that support system procurement and implementation. Experience with IT/OT system interoperability in mining or large-scale industrial programs. Knowledge of architecture modeling tools (e.g., Orbus Infinity, ArchiMate), integration patterns (e.g., API gateways, OPC UA, MQTT), and deployment models. Experience in hybrid cloud-edge deployments, system orchestration, and secure remote operations. Minimum 15 years of experience delivering digital solutions in Oil & Gas and/or Mining industries. Proven track record of successful solution design and deployment across industrial operations, capital projects, and enterprise digital initiatives. Deep understanding of solution architecture, data architecture, and IT/OT systems integration in mission-critical environments. Strong experience designing and implementing data lakes, data warehouses, and ETL pipelines. Proficient in relational, graph, and time-series data modeling. Experience leading integration strategy for complex enterprise and industrial systems. In-depth knowledge of cloud infrastructure (AWS, Azure), including IaaS, PaaS, and distributed systems architecture. Hands-on experience with microservices, cloud-native development, and containerization (e.g., Docker, Kubernetes). Familiarity with cloud networking, identity and access management (IAM), and authentication/authorization frameworks (OAuth2, SAML, etc.). Strong grasp of DevOps principles, CI/CD pipelines, and the software development lifecycle. Experience delivering production-grade software using languages such as Python, Java, or similar. Proficient with API design, scripting (e.g., Python, SQL), and building hybrid/cloud-based systems. Capable of technical deep dives into infrastructure, code, and architecture layers when required. Demonstrated expertise in deploying Digital Twin and Asset Performance Management (APM) solutions at scale. Strong technical knowledge of OPC UA/DA, IoT frameworks, edge computing, and real-time data integration. Familiarity with industrial platforms such as Cognite, Aveva, Bentley, Hexagon, or similar ecosystems. Experience managing complex, cross-functional digital projects and coordinating across organizational boundaries. Skilled in planning and orchestrating high-quality solution delivery within timelines and budget. Ability to align diverse technical stakeholders (client engineering, IT, cyber, vendors) through structured architectural approaches. Agile mindset with practical experience working on a Scrum team or in a Scaled Agile environment. Excellent written and verbal communication skills tailored to both technical and executive audiences. Strong influencing, negotiation, and conflict resolution abilities; adept at building consensus. Ability to understand and frame customer business and technical needs to drive solution alignment. Professional presence in customer-facing interactions, with strong listening skills and ability to ask insightful questions. Cognitively agile—capable of switching between technical deep dives and strategic architecture discussions with leadership. Detail-oriented while maintaining a high-level view of system-wide architectural implications. Willingness and ability to travel occasionally to customer or project sites as needed.