Digital Twin Architect

SLB•Houston, TX

12h•Hybrid

About The Position

Drive the current and future technical solution across a range of applications, solutions and technologies for development of advanced digital twin solutions for asset performance and management in the Oil and Gas midstream sector. Drive the digital transformation of midstream operations, enabling data-driven decision-making, predictive analytics, and operational excellence. Apply expertise in digital twin technologies, asset lifecycle management, and a solid understanding of the complexities of the oil and gas midstream domain, including pipelines, terminals, storage facilities, and related infrastructure. Develop and own the strategy, architecture, and roadmap for digital twin solutions tailored to midstream asset performance and management. Design and implement scalable, secure, and interoperable digital twin frameworks that integrate with existing operational technology (OT) and information technology (IT) systems. Collaborate with stakeholders to define use cases, objectives, and success metrics for digital twin initiatives. Lead the end-to-end lifecycle of digital twin projects, from concept and design to implementation and optimization. Integrate real-time sensor data, IoT devices, SCADA systems, and historical data to create dynamic, virtual replicas of physical assets. Ensure solutions enable predictive maintenance, performance optimization, anomaly detection, and scenario simulation. Oversee the integration of advanced technologies such as machine learning (ML), artificial intelligence (AI), and cloud computing into digital twin solutions. Partner with engineering, operations, IT, and business teams to align digital twin initiatives with organizational goals. Collaborate with cross-functional teams to ensure seamless integration with enterprise systems, including ERP, CMMS, and EAM platforms. Act as a subject matter expert (SME) in discussions with external vendors, consultants, and partners. Establish data pipelines and architectures to support the ingestion, processing, and visualization of asset performance data. Enable advanced analytics and machine learning models to provide actionable insights for asset management. Monitor and evaluate the performance of digital twin solutions, identifying areas for improvement and implementing enhancements. Ensure digital twin solutions adhere to industry standards, regulatory requirements, and cybersecurity best practices. Mitigate risks associated with digital transformation initiatives, including data breaches, system downtime, and operational disruptions. Actively participates in intellectual property (protection of and compliance with) decisions. Author/co-authors technical papers.

Requirements

Master’s degree in Computer Science, Computer Engineering, Mathematics, Information Management, Applied Statistics, or a related STEM field, or a foreign equivalent.
3 years post-baccalaureate experience in job offered or any engineering/developer related job titles.
3 years of experience in cloud platforms including Microsoft Azure, AWS, and Google Cloud Platform, with a focus on serverless computing and scalable infrastructure.
3 years of experience in RESTful API design and documentation, with emphasis on clean architectural patterns and use-case driven development.
3 years of experience in secure authentication and authorization mechanisms, including OAuth2 and JWT for token-based access control in web and API layers.
3 years of experience in designing and developing reusable, modular libraries for scalable software systems.
3 years of experience in IoT protocols (MQTT, OPC UA, Modbus, etc.) and their integration with OT systems like SCADA, PLCs, and DCS.
3 years of experience in cloud security including Azure AD integration and Secure Development Lifecycle (SDL).

Responsibilities

Drive the current and future technical solution across a range of applications, solutions and technologies for development of advanced digital twin solutions for asset performance and management in the Oil and Gas midstream sector.
Drive the digital transformation of midstream operations, enabling data-driven decision-making, predictive analytics, and operational excellence.
Apply expertise in digital twin technologies, asset lifecycle management, and a solid understanding of the complexities of the oil and gas midstream domain, including pipelines, terminals, storage facilities, and related infrastructure.
Develop and own the strategy, architecture, and roadmap for digital twin solutions tailored to midstream asset performance and management.
Design and implement scalable, secure, and interoperable digital twin frameworks that integrate with existing operational technology (OT) and information technology (IT) systems.
Collaborate with stakeholders to define use cases, objectives, and success metrics for digital twin initiatives.
Lead the end-to-end lifecycle of digital twin projects, from concept and design to implementation and optimization.
Integrate real-time sensor data, IoT devices, SCADA systems, and historical data to create dynamic, virtual replicas of physical assets.
Ensure solutions enable predictive maintenance, performance optimization, anomaly detection, and scenario simulation.
Oversee the integration of advanced technologies such as machine learning (ML), artificial intelligence (AI), and cloud computing into digital twin solutions.
Partner with engineering, operations, IT, and business teams to align digital twin initiatives with organizational goals.
Collaborate with cross-functional teams to ensure seamless integration with enterprise systems, including ERP, CMMS, and EAM platforms.
Act as a subject matter expert (SME) in discussions with external vendors, consultants, and partners.
Establish data pipelines and architectures to support the ingestion, processing, and visualization of asset performance data.
Enable advanced analytics and machine learning models to provide actionable insights for asset management.
Monitor and evaluate the performance of digital twin solutions, identifying areas for improvement and implementing enhancements.
Ensure digital twin solutions adhere to industry standards, regulatory requirements, and cybersecurity best practices.
Mitigate risks associated with digital transformation initiatives, including data breaches, system downtime, and operational disruptions.
Actively participates in intellectual property (protection of and compliance with) decisions.
Author/co-authors technical papers.