{"schemaVersion":"jobsearcher.job.v1","id":"cc91dadbc4998ff17dec3d09","url":"https://jobsearcher.com/jobs/cc91dadbc4998ff17dec3d09","canonicalUrl":"https://jobsearcher.com/jobs/cc91dadbc4998ff17dec3d09","title":"Data Architect","description":"Date: Jul 16, 2026\nLocation: Oklahoma City, OK, US, 73118 Spring, TX, US, 77389\nCompany: Expand Energy\nOur core values — Stewardship, Character, Collaborate, Learn, Disrupt — are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.\nWe seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.\n\nJob Summary\nThis advisor-level role is responsible for advancing the architecture, scalability, and maturity of the enterprise data platform within the Enterprise Data and Analytics team.\nThe Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are scalable, reliable, and aligned with business needs.\nThis role partners with cross-functional teams to establish standards, patterns, and platform capabilities that enable efficient delivery of data products, machine learning models, and advanced analytics solutions across the organization.\nJob Duties & Responsibilities\nData Platform Architecture\nDefine and evolve data platform architecture, ensuring scalability, reliability, and long-term sustainability\nEstablish standards and best practices for data modeling, data pipelines, and platform usage\nDrive maturity across data platform capabilities, including ingestion, transformation, serving, and governance\nMLOps Enablement\nLead design and implementation of MLOps capabilities, including model deployment, monitoring, and lifecycle management\nEstablish reusable patterns and frameworks supporting machine learning and data product delivery\nSupport teams in operationalizing machine learning solutions at scale\nEmerging Capabilities & Platform Evolution\nEvaluate and enable platform capabilities to support evolving AI and advanced analytics use cases\nEnsure the platform can support new workloads and architectural patterns while maintaining stability and performance\nRecommend tools, technologies, and process improvements to enhance delivery and platform effectiveness\nCollaboration & Technical Leadership\nPartner with business stakeholders and technical teams to define and deliver scalable solutions\nProvide architectural guidance across multiple teams to ensure consistency and alignment\nPromote best practices in software engineering, DevOps, and SDLC processes\nJob Specific Skills\nStrong proficiency in Python with experience building and operating production data or ML systems\nStrong proficiency in SQL and experience with distributed data processing frameworks\nExpertise in data architecture, data modeling, and data platform design\nExperience designing and supporting MLOps environments, including pipeline automation, deployment, and monitoring\nStrong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns.\nExpertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases.\nHands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks.\nStrong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions.\nStrong knowledge of SDLC processes, including Agile methodologies.\nAbility to define and implement standards, patterns, and reusable frameworks\nStrong communication and collaboration skills, with the ability to work effectively in a team environment.\nEducation\nMinimum: High school diploma or GED\nPreferred: Bachelor’s degree in Information Systems, Computer Science, or related field\nExperience\nMinimum: 8 years related work experience\nPreferred: Related work experience in data engineering, software engineering, or data architecture\n\nExpand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.\n\nExpand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.\n\nNearest Major Market: Oklahoma City\nNearest Secondary Market: Oklahoma\nJob Segment: Data Architect, Pipeline, Test Engineer, Sustainability, Cloud, Data, Energy, Engineering, Technology","company":"Expand Energy","rawCompany":"expand energy","city":"Oklahoma City","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-07-19T12:04:26.402Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Architect","description":"Date: Jul 16, 2026\nLocation: Oklahoma City, OK, US, 73118 Spring, TX, US, 77389\nCompany: Expand Energy\nOur core values — Stewardship, Character, Collaborate, Learn, Disrupt — are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.\nWe seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.\n\nJob Summary\nThis advisor-level role is responsible for advancing the architecture, scalability, and maturity of the enterprise data platform within the Enterprise Data and Analytics team.\nThe Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are scalable, reliable, and aligned with business needs.\nThis role partners with cross-functional teams to establish standards, patterns, and platform capabilities that enable efficient delivery of data products, machine learning models, and advanced analytics solutions across the organization.\nJob Duties & Responsibilities\nData Platform Architecture\nDefine and evolve data platform architecture, ensuring scalability, reliability, and long-term sustainability\nEstablish standards and best practices for data modeling, data pipelines, and platform usage\nDrive maturity across data platform capabilities, including ingestion, transformation, serving, and governance\nMLOps Enablement\nLead design and implementation of MLOps capabilities, including model deployment, monitoring, and lifecycle management\nEstablish reusable patterns and frameworks supporting machine learning and data product delivery\nSupport teams in operationalizing machine learning solutions at scale\nEmerging Capabilities & Platform Evolution\nEvaluate and enable platform capabilities to support evolving AI and advanced analytics use cases\nEnsure the platform can support new workloads and architectural patterns while maintaining stability and performance\nRecommend tools, technologies, and process improvements to enhance delivery and platform effectiveness\nCollaboration & Technical Leadership\nPartner with business stakeholders and technical teams to define and deliver scalable solutions\nProvide architectural guidance across multiple teams to ensure consistency and alignment\nPromote best practices in software engineering, DevOps, and SDLC processes\nJob Specific Skills\nStrong proficiency in Python with experience building and operating production data or ML systems\nStrong proficiency in SQL and experience with distributed data processing frameworks\nExpertise in data architecture, data modeling, and data platform design\nExperience designing and supporting MLOps environments, including pipeline automation, deployment, and monitoring\nStrong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns.\nExpertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases.\nHands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks.\nStrong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions.\nStrong knowledge of SDLC processes, including Agile methodologies.\nAbility to define and implement standards, patterns, and reusable frameworks\nStrong communication and collaboration skills, with the ability to work effectively in a team environment.\nEducation\nMinimum: High school diploma or GED\nPreferred: Bachelor’s degree in Information Systems, Computer Science, or related field\nExperience\nMinimum: 8 years related work experience\nPreferred: Related work experience in data engineering, software engineering, or data architecture\n\nExpand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.\n\nExpand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.\n\nNearest Major Market: Oklahoma City\nNearest Secondary Market: Oklahoma\nJob Segment: Data Architect, Pipeline, Test Engineer, Sustainability, Cloud, Data, Energy, Engineering, Technology","datePosted":"2026-07-19T12:04:26.402Z","dateModified":"2026-07-19T12:04:26.402Z","hiringOrganization":{"@type":"Organization","name":"Expand Energy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oklahoma City","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cc91dadbc4998ff17dec3d09"},"url":"https://jobsearcher.com/jobs/cc91dadbc4998ff17dec3d09"}}