Senior Data Architect - Marathon Petroleum Corporation
Findlay, OH
About the Job
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
We are seeking a highly skilled and experienced Senior Data Architect to join our Solution and Data Architecture team in Analytics and Innovation organization. In this role, you will be instrumental in designing and managing our organization’s data infrastructure that is high-performing, scalable, and cost-efficient. You will be creating blueprints for how data is effectively stored, integrated, managed, and accessed across various systems while collaborating with Data Analysts, Solution Architects, System Architects, and Data Engineers to ensure that the data is structured in a way that meets data requirements and supports better decision-making processes.
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
+ Develops and maintains data architecture standards, policies, and best practices. Assists in the development and improvement of information governance processes and structures. Participates and contributes as the data architect in architecture reviews.
+ Designs and implements data architectures that support business objectives. Collaborates with business and IT stakeholders to ensure data architecture alignment. Collaborates with business unit leaders to provide strategic recommendations for maximizing the value of information assets.
+ Evaluates and recommends data management technologies and platforms.
+ Analyzes data requirements and translates them into data models and database designs. Leads the design and implementation of data integration and data warehousing solutions. Participates in the analysis of data and analytics security requirements and solutions. Assists in supporting AI initiatives, collaborating with AI architects as needed.
+ Provides guidance and support to development teams during implementation. Plays a significant role in data exploitation, envisioning data-enabled strategies, and enabling various business outcomes through analytics. Creates and manages business information models, including conceptual models and relational database designs.
+ Participates in data governance initiatives and ensures data quality and security.
Education and Experience
+ Bachelors Degree in Information Technology, related field or equivalent experience.
+ 5+ years of relevant architecture experience required.
+ Proven experience in data modeling and familiarity with data management best practices.
+ Proficiency in Erwin and cloud platforms such as Azure Synapse Analytics, Azure SQL, and Azure Cosmos DB for deploying database solutions.
+ Knowledge of data privacy regulations (e.g., GDPR, CCPA).
+ Strong problem-solving, critical thinking, and analytical capabilities.
+ Excellent verbal and written communication skills.
+ Strong team player in a highly collaborative environment.
+ Experience with Agile development methodologies.
Skills
+ 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.
+ 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.
+ Data Engineering – Data engineering involves the design, development, and management of the architecture and infrastructure for collecting, storing, processing, and analyzing data. Lifecycle management in the context of data refers to the systematic handling of data throughout its entire lifecycle, including acquisition, storage, processing, and eventual disposal or archival, ensuring data quality, security, and compliance with relevant regulations at each stage.
+ Data Governance – Ability to establish and oversee a set of procedures, policies, and standards that ensure the effective and efficient management of an organization's data assets. This includes ensuring data quality, compliance with relevant laws and regulations, and secure data handling practices. It also involves the coordination between different departments to ensure that data is accurate, accessible, and used responsibly and ethically.
+ Data Modeling – Skill in designing and implementing data models that align with business requirements, ensuring data integrity, performance, and scalability.
+ Data Warehousing (DW) – Knowledge of monitoring and observability tools and practices for tracking data pipeline performance, data quality, and system health.
+ Machine Learning – Machine learning is a branch of Artificial Intelligence (AI) and computer science that involves the development of algorithms and statistical models that enable computers to progressively improve their performance on a specific task through learning from data, without being explicitly programmed. In essence, machine learning algorithms learn from patterns and relationships in data to make predictions, and decisions, or identify patterns, often with the goal of optimizing some objective function or improving performance over time.
+ Metadata Management – Proficiency in metadata management solutions to enable efficient data discovery, data lineage tracing, and data asset management.
+ Process Orchestration – Process orchestration refers to the coordination and management of various tasks, activities, and resources within a workflow or business process. It involves organizing, sequencing, and automating individual tasks or sub-processes to ensure that the overall process operates smoothly and efficiently. Process orchestration typically involves integrating disparate systems, applications, and services to streamline operations and improve collaboration across different parts of an organization. It often employs workflow management tools, automation software, and integration platforms to facilitate communication, data exchange, and decision-making among different components of the process. The goal of process orchestration is to optimize the flow of work, minimize delays and bottlenecks, and enhance overall productivity and performance.
+ Responsible Innovation – Knowledge of ethical considerations related to data usage, data-driven technologies and strategies to mitigate biases in data-driven decision-making.
+ Systems Thinking – The ability to analyze complex systems and understand their interdependencies, considering both technical and business aspects, to develop comprehensive and scalable architectures.
MINIMUM QUALIFICATIONS: Bachelor’s Degree in Information Technology, related field or equivalent experience. 5+ years of relevant architecture experience.
As an energy industry leader, our career opportunities fuel personal and professional growth.
Location:
Findlay, Ohio
Additional locations:
San Antonio, Texas
Job Requisition ID:
00013318
Location Address:
539 S Main St
Education:
Bachelors: Computer Science & Engineering
Employee Group:
Full time
Employee Subgroup:
Regular
Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here (https://marathonpetroleum.brandextract.com/staged/marathonpetroleum.com/content/documents/Jobs_/Department_of_Labor_EEOC_.pdf) . If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com . Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com .The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability
We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.
About Marathon Petroleum Corporation
Marathon Petroleum Corporation (MPC) is a leading, integrated, downstream energy company headquartered in Findlay, Ohio. The company operates the nation's largest refining system. MPC's marketing system includes branded locations across the United States, including Marathon brand retail outlets. MPC also owns the general partner and majority limited partner interest in MPLX LP, a midstream company that owns and operates gathering, processing, and fractionation assets, as well as crude oil and light product transportation and logistics infrastructure.
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
We are seeking a highly skilled and experienced Senior Data Architect to join our Solution and Data Architecture team in Analytics and Innovation organization. In this role, you will be instrumental in designing and managing our organization’s data infrastructure that is high-performing, scalable, and cost-efficient. You will be creating blueprints for how data is effectively stored, integrated, managed, and accessed across various systems while collaborating with Data Analysts, Solution Architects, System Architects, and Data Engineers to ensure that the data is structured in a way that meets data requirements and supports better decision-making processes.
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
+ Develops and maintains data architecture standards, policies, and best practices. Assists in the development and improvement of information governance processes and structures. Participates and contributes as the data architect in architecture reviews.
+ Designs and implements data architectures that support business objectives. Collaborates with business and IT stakeholders to ensure data architecture alignment. Collaborates with business unit leaders to provide strategic recommendations for maximizing the value of information assets.
+ Evaluates and recommends data management technologies and platforms.
+ Analyzes data requirements and translates them into data models and database designs. Leads the design and implementation of data integration and data warehousing solutions. Participates in the analysis of data and analytics security requirements and solutions. Assists in supporting AI initiatives, collaborating with AI architects as needed.
+ Provides guidance and support to development teams during implementation. Plays a significant role in data exploitation, envisioning data-enabled strategies, and enabling various business outcomes through analytics. Creates and manages business information models, including conceptual models and relational database designs.
+ Participates in data governance initiatives and ensures data quality and security.
Education and Experience
+ Bachelors Degree in Information Technology, related field or equivalent experience.
+ 5+ years of relevant architecture experience required.
+ Proven experience in data modeling and familiarity with data management best practices.
+ Proficiency in Erwin and cloud platforms such as Azure Synapse Analytics, Azure SQL, and Azure Cosmos DB for deploying database solutions.
+ Knowledge of data privacy regulations (e.g., GDPR, CCPA).
+ Strong problem-solving, critical thinking, and analytical capabilities.
+ Excellent verbal and written communication skills.
+ Strong team player in a highly collaborative environment.
+ Experience with Agile development methodologies.
Skills
+ 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.
+ 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.
+ Data Engineering – Data engineering involves the design, development, and management of the architecture and infrastructure for collecting, storing, processing, and analyzing data. Lifecycle management in the context of data refers to the systematic handling of data throughout its entire lifecycle, including acquisition, storage, processing, and eventual disposal or archival, ensuring data quality, security, and compliance with relevant regulations at each stage.
+ Data Governance – Ability to establish and oversee a set of procedures, policies, and standards that ensure the effective and efficient management of an organization's data assets. This includes ensuring data quality, compliance with relevant laws and regulations, and secure data handling practices. It also involves the coordination between different departments to ensure that data is accurate, accessible, and used responsibly and ethically.
+ Data Modeling – Skill in designing and implementing data models that align with business requirements, ensuring data integrity, performance, and scalability.
+ Data Warehousing (DW) – Knowledge of monitoring and observability tools and practices for tracking data pipeline performance, data quality, and system health.
+ Machine Learning – Machine learning is a branch of Artificial Intelligence (AI) and computer science that involves the development of algorithms and statistical models that enable computers to progressively improve their performance on a specific task through learning from data, without being explicitly programmed. In essence, machine learning algorithms learn from patterns and relationships in data to make predictions, and decisions, or identify patterns, often with the goal of optimizing some objective function or improving performance over time.
+ Metadata Management – Proficiency in metadata management solutions to enable efficient data discovery, data lineage tracing, and data asset management.
+ Process Orchestration – Process orchestration refers to the coordination and management of various tasks, activities, and resources within a workflow or business process. It involves organizing, sequencing, and automating individual tasks or sub-processes to ensure that the overall process operates smoothly and efficiently. Process orchestration typically involves integrating disparate systems, applications, and services to streamline operations and improve collaboration across different parts of an organization. It often employs workflow management tools, automation software, and integration platforms to facilitate communication, data exchange, and decision-making among different components of the process. The goal of process orchestration is to optimize the flow of work, minimize delays and bottlenecks, and enhance overall productivity and performance.
+ Responsible Innovation – Knowledge of ethical considerations related to data usage, data-driven technologies and strategies to mitigate biases in data-driven decision-making.
+ Systems Thinking – The ability to analyze complex systems and understand their interdependencies, considering both technical and business aspects, to develop comprehensive and scalable architectures.
MINIMUM QUALIFICATIONS: Bachelor’s Degree in Information Technology, related field or equivalent experience. 5+ years of relevant architecture experience.
As an energy industry leader, our career opportunities fuel personal and professional growth.
Location:
Findlay, Ohio
Additional locations:
San Antonio, Texas
Job Requisition ID:
00013318
Location Address:
539 S Main St
Education:
Bachelors: Computer Science & Engineering
Employee Group:
Full time
Employee Subgroup:
Regular
Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here (https://marathonpetroleum.brandextract.com/staged/marathonpetroleum.com/content/documents/Jobs_/Department_of_Labor_EEOC_.pdf) . If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com . Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com .The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability
We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.
About Marathon Petroleum Corporation
Marathon Petroleum Corporation (MPC) is a leading, integrated, downstream energy company headquartered in Findlay, Ohio. The company operates the nation's largest refining system. MPC's marketing system includes branded locations across the United States, including Marathon brand retail outlets. MPC also owns the general partner and majority limited partner interest in MPLX LP, a midstream company that owns and operates gathering, processing, and fractionation assets, as well as crude oil and light product transportation and logistics infrastructure.
Source : Marathon Petroleum Corporation