{"schemaVersion":"jobsearcher.job.v1","id":"efd2154e94594d6eadfc1613","url":"https://jobsearcher.com/jobs/efd2154e94594d6eadfc1613","canonicalUrl":"https://jobsearcher.com/jobs/efd2154e94594d6eadfc1613","title":"Principal Data Architect","description":"MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding.\n\nWe are seeking a highly seasoned Data Architect (individual contributor) with hands‑on experience spanning enterprise data architecture, modern data platforms, analytics, and AI-enabled solutions.The ideal candidate is a self‑driven, collaborative, and deeply technical leader who thrives on partnering with business and technology stakeholders to design and deliver enterprise‑scale data and AI solutions.\n\nIn this senior individual contributor role, you will shape the enterprise data and AI strategy, advance core data capabilities, and lead the end‑to‑end execution of complex, cross‑functional initiatives. This position carries significant architectural ownership and influence, requiring someone who can think strategically while remaining highly engaged in technical execution.\n\nMathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.\n\nEnterprise Data Strategy & Architecture\n\nDefine the target-state Data and AI architecture aligned with business goals and technology strategy.\nEstablish architectural standards, principles, and best practices across the data ecosystem.\nDevelop and maintain a multi-year roadmap covering data platforms, integrations, and AI enablement.\nDesign scalable, secure, and interoperable data architectures that support enterprise analytics, operational reporting, and AI-driven use cases.\n\nAI Data Readiness & AI Architecture\n\nDefine enterprise AI data readiness strategies to ensure data is accessible, trusted, and AI-ready.\nAssess and improve data maturity across structured and unstructured data, including metadata, semantic models, lineage, and quality.\nDesign scalable architecture and reusable patterns for AI, machine learning, advanced analytics, and automation.\nCollaborate with business, analytics, and AI teams to identify data gaps and prioritize improvements.\nDefine architectural standards for RAG, vector databases, knowledge repositories, and enterprise AI platforms.\nEstablish standards for metadata, observability, discoverability, and data products to maximize AI adoption and business value.\nEvaluate emerging AI technologies and recommend solutions that improve scalability, performance, and time-to-value.\nIncorporate responsible AI principles, including transparency, explainability, traceability, and auditability, into solution designs.\n\nStakeholder Collaboration & Leadership\n\nPartner closely with business and technical stakeholders to understand needs, define requirements, and co-create data solutions that deliver measurable outcomes.\nTranslate complex technical concepts into clear, executive-ready communication.\nProvide architectural leadership and thought partnership across cross-functional teams.\nStrong ability to influence stakeholders and drive outcomes without formal authority.\n\nExperience in enterprise data architecture, data management, analytics platforms, and AI-enabled data ecosystems.\nDemonstrated success leading large, complex, cross-functional data initiatives.\nStrong ability to influence stakeholders and drive outcomes without formal authority.\nAnalytical and structured thinker—comfortable navigating ambiguity and solving complex data problems.\nHighly self-directed, organized, and capable of independently driving strategic and technical workstreams.\nDeep understanding of AI data readiness principles, including metadata management, data products, semantic layers, data lineage, and AI-ready data architectures.\nExperience implementing data localization, data residency, or data sovereignty requirements across global environments.\n\nA bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.\nExperience with data architecture","company":"Mathworks","rawCompany":"mathworks","city":"Natick","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-08-27T07:04:13.588Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal Data Architect","description":"MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding.\n\nWe are seeking a highly seasoned Data Architect (individual contributor) with hands‑on experience spanning enterprise data architecture, modern data platforms, analytics, and AI-enabled solutions.The ideal candidate is a self‑driven, collaborative, and deeply technical leader who thrives on partnering with business and technology stakeholders to design and deliver enterprise‑scale data and AI solutions.\n\nIn this senior individual contributor role, you will shape the enterprise data and AI strategy, advance core data capabilities, and lead the end‑to‑end execution of complex, cross‑functional initiatives. This position carries significant architectural ownership and influence, requiring someone who can think strategically while remaining highly engaged in technical execution.\n\nMathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.\n\nEnterprise Data Strategy & Architecture\n\nDefine the target-state Data and AI architecture aligned with business goals and technology strategy.\nEstablish architectural standards, principles, and best practices across the data ecosystem.\nDevelop and maintain a multi-year roadmap covering data platforms, integrations, and AI enablement.\nDesign scalable, secure, and interoperable data architectures that support enterprise analytics, operational reporting, and AI-driven use cases.\n\nAI Data Readiness & AI Architecture\n\nDefine enterprise AI data readiness strategies to ensure data is accessible, trusted, and AI-ready.\nAssess and improve data maturity across structured and unstructured data, including metadata, semantic models, lineage, and quality.\nDesign scalable architecture and reusable patterns for AI, machine learning, advanced analytics, and automation.\nCollaborate with business, analytics, and AI teams to identify data gaps and prioritize improvements.\nDefine architectural standards for RAG, vector databases, knowledge repositories, and enterprise AI platforms.\nEstablish standards for metadata, observability, discoverability, and data products to maximize AI adoption and business value.\nEvaluate emerging AI technologies and recommend solutions that improve scalability, performance, and time-to-value.\nIncorporate responsible AI principles, including transparency, explainability, traceability, and auditability, into solution designs.\n\nStakeholder Collaboration & Leadership\n\nPartner closely with business and technical stakeholders to understand needs, define requirements, and co-create data solutions that deliver measurable outcomes.\nTranslate complex technical concepts into clear, executive-ready communication.\nProvide architectural leadership and thought partnership across cross-functional teams.\nStrong ability to influence stakeholders and drive outcomes without formal authority.\n\nExperience in enterprise data architecture, data management, analytics platforms, and AI-enabled data ecosystems.\nDemonstrated success leading large, complex, cross-functional data initiatives.\nStrong ability to influence stakeholders and drive outcomes without formal authority.\nAnalytical and structured thinker—comfortable navigating ambiguity and solving complex data problems.\nHighly self-directed, organized, and capable of independently driving strategic and technical workstreams.\nDeep understanding of AI data readiness principles, including metadata management, data products, semantic layers, data lineage, and AI-ready data architectures.\nExperience implementing data localization, data residency, or data sovereignty requirements across global environments.\n\nA bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.\nExperience with data architecture","datePosted":"2026-08-27T07:04:13.588Z","dateModified":"2026-08-27T07:04:13.588Z","hiringOrganization":{"@type":"Organization","name":"Mathworks","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Natick","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"efd2154e94594d6eadfc1613"},"url":"https://jobsearcher.com/jobs/efd2154e94594d6eadfc1613"}}