Senior Solution Architect, Midstream Operations

4500 Marathon Petroleum Company LP; San Antonio (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Marathon Petroleum Company LP is seeking a Senior Solution Architect to design and implement digital solutions that enhance performance and reliability of its Operational Facilities. The role blends IT and OT expertise to drive AI-enabled, scalable architectures aligned with enterprise standards.

The ideal candidate will have 5+ years in IT with architecture experience, strong Azure cloud and AI/ML pattern knowledge, and the ability to translate complex business needs into cloud-based solutions.

Qualifications

• Bachelor’s Degree in Information Technology or related field or equivalent experience.
• Five (5) or more years of IT experience including two (2) or more years in architecture roles.
• Experience with Microsoft Azure cloud environments and AI/ML architectures (LLMs, RAG).
• Experience building scalable, resilient architectures aligned with enterprise standards.

Responsibilities

• Define and drive the overall solution architecture strategy and roadmap for business initiatives.
• Coordinate architectural advice across cross-functional solution delivery and stakeholders.
• Ensure solutions are scalable and aligned with architecture strategies.
• Mentor teams in solution architecture best practices across domains.
• Resolve complex integration and alignment challenges across systems.
• Represent solution architecture in business and IT strategy discussions.
• Bridge business needs and technical implementation to solve core problems.

Skills

Adaptability

AI Fundamentals

Change Management

Agile

Analytical Thinking

Cloud Computing

DevSecOps

Education

Bachelor’s Degree in Information Technology or related field

Tools

Azure Cloud

Job description

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.

The Senior Solution Architect plays a critical role in designing and implementing innovative digital solutions to enhance the performance and reliability of MPC’s Operational Facilities. This role blends Information Technology and Operational Technology expertise to drive strategic advancements and support mission-critical operations. The ideal candidate will align solutions with enterprise architecture standards, assess and integrate emerging technologies, and collaborate with cross-functional teams to ensure solutions are scalable, resilient, and aligned with business goals. Strong leadership, business acumen, and Oil & Gas industry experience are highly valued in this role.

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

• Define and drive the overall solution architecture strategy and roadmap for business initiatives.
• Serve as a coordinating architectural advisor for cross functional solution delivery, collaborating with business stakeholders, Enterprise and System Architects to ensure cohesive, value-driven designs.
• Ensure solutions are scalable, maintainable, and aligned with business and architecture strategies.
• Mentor and guide teams in solution architecture best practices across applicable Architecture Domains (Business, Application, Technology. Information and Security architecture).
• Resolve complex integration and alignment challenges across systems.
• Represent solution architecture in business and IT strategy discussions.
• Bridge business needs and technical implementation, ensuring solutions solve the core business problem

Education and Experience

• Bachelor’s Degree in Information Technology, related field or equivalent experience required.
• Five (5) or more years of relevant IT experience, including two (2) or more years of relevant architecture experience required. Experience in Solution Architecture, Enterprise Architecture, or Digital Architecture, with a strong focus on designing and delivering solutions within Microsoft Azure cloud environments preferred. Experience architecting and implementing Artificial Intelligence (AI) solutions, including Azure AI services, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and emerging AI/ML architecture patterns preferred. Experience in data architecture, including enterprise data platforms, data modeling, system integration patterns, data governance, data quality, and master data management (MDM) preferred. Experience developing scalable, secure, and resilient architecture solutions that align business objectives, technology strategies, and enterprise architecture standards. Experience translating complex business requirements into cloud, data, and AI-enabled technology solutions that drive innovation and business value preferred.

Skills

• Adaptability - Maintaining effectiveness when experiencing major changes in work responsibilities or environment (e.g., people, processes, structure, or culture); adjusting effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful.
• AI Fundamentals - Understanding of core AI concepts and methods, ability to apply AI to job-relevant use cases and capacity to contribute to organizational AI reimagination.
• Change Management - Change Management refers to a systematic approach for defining and implementing procedures and/or technologies to deal with changes in the environment. It can mean adapting to change, controlling change and/or effecting change.
• Agile Methodology - Agile project management is an iterative approach to delivering a project throughout its life cycle, taking incremental steps towards 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 customer needs.
• Continuous Improvement Mindset - Identifies and leads opportunities for continuous improvement and value creation, both incremental and large-scale.
• DevSecOps - A set of practices that automates the integration of security at every phase of the software development lifecycle, from initial design through integration, testing, deployment, and software delivery, with an aim towards shortening the systems development life cycle and pas well as continuous delivery and a security first approach.
• Functional Expertise - A strong understanding of various technologies, platforms, and systems relevant to the organization’s architecture, such as networking, databases, cloud computing, and security.
• Internet of Things (Io