An exciting career awaits you

At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Position Summary

This Solution Architect role will be instrumental in developing strategies and designing innovative technology solutions to optimize industrial operations within the MPC Operational Technology (OT) ecosystem. This role focuses on creating secure, scalable, and resilient architectures that integrate OT systems, such as SCADA, PLCs, DCS, and IoT, with IT infrastructure to enable reliable and secure operations. The position drives digital transformation by enhancing operational efficiency, ensuring robust cybersecurity, and aligning solutions with strategic business objectives to unlock value.

This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.

Key Responsibilities

• Design and shepherd deployment of OT solutions, including SCADA, PLCs, DCS, and IoT systems, to enhance efficiency and reliability.
• Assess existing OT infrastructure, identify gaps, and develop modernization strategies.
• Supports architectural governance and compliance, and contributes to defining principles, guidelines, and standards. Participates and contributes to solution architecture reviews and ensures architecture adherence.
• Collaborates with stakeholders to ensure solution alignment with business objectives.
• Evaluate and select appropriate technologies, frameworks, and platforms.
• Takes a more active role in analyzing technology trends and impacts and contributes to vendor assessments.
• Leads the design and development of end-to-end solutions that meet business requirements.
• Analyzes and translates business and technical requirements into solution designs.
• Leads the translation of business and technical requirements into architectural blueprints, collaborating with product owners and managers. Defines system integration approaches and ensures interoperability of components.
• Provides guidance and support to development teams during solution implementation. Manages the architecture for a broader scope of projects and develops roadmaps for portfolio evolution.

Education and Experience

• Bachelor’s Degree in Information Technology, related field, or equivalent experience required.
• 5+ years of relevant architecture experience required.
• Expertise in OT technologies (SCADA, PLC, DCS, IIoT) and IT/OT convergence is preferred.
• Strong knowledge of industrial cybersecurity frameworks and network protocols (e.g., Modbus, OPC UA) is a plus.

Skills

• Agile Methodology – Agile management is an iterative approach to delivering a project throughout its life cycle, taking incremental steps towards project the completion of a project.
• Analytical Thinking – Strong problem-solving skills to identify architectural challenges, analyze requirements, evaluate options, and propose effective solutions.
• Artificial Intelligence (AI) – Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems.
• Authentic Communicator – Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue.
• Big Data Analytics – Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively handle large volumes of data and enable advanced analytics.
• Business Acumen – Applies knowledge of MPC’s business, industry and the marketplace to advance the organization’s goals. Makes decisions and recommendations clearly linked to MPC’s strategy.
• Cloud Computing – Knowing how to manage cloud services, develop cloud applications and use cloud architecture to meet custo