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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** The MathWorks, Inc. - **Location:** Natick, MA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $224,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Architectural Patterns, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Dataspaces, Data Systems, Machine Learning, Systems Integration, Enterprise Data Management, Data Strategy, Core Data, Data Management - **Published:** July 7, 2026 - **Apply:** https://www.juju.com/job/00000000gejcn2 ## About the Role We are seeking a highly seasoned Data Architect (Individual Contributor) with 20+ years of hands-on experience spanning enterprise data platforms, AI data architecture, data governance, and data quality. 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. In 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. MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence., + A bachelor's degree and 10 years of professional work experience (or equivalent experience) is required. Additional Qualifications + Experience standing up enterprise data platforms or AI/ML ecosystems. + Industry certifications in cloud architecture or data engineering. + Experience with responsible AI, data ethics, or regulatory compliance. ## Description Enterprise Data Strategy & Architecture + Define the target-state Data and AI architecture aligned with business goals and technology strategy. + Establish architectural standards, principles, and best practices across the data ecosystem. + Develop and maintain a multi-year roadmap covering data platforms, integrations, governance, and AI enablement. Stakeholder Collaboration & Leadership + Partner closely with business and technical stakeholders to understand needs, define requirements, and co-create data solutions that deliver measurable outcomes. + Translate complex technical concepts into clear, executive-ready communication. + Provide architectural leadership and thought partnership across cross-functional teams. + Analytical and structured thinker-comfortable navigating ambiguity and solving complex data problems. + Highly self-directed, organized, and capable of independently driving strategic and technical workstreams. Data Governance & Quality + Design and implement enterprise data governance frameworks, including data ownership, stewardship, policy development, and operating models. + Define data quality processes, including profiling, validation, controls, and lineage. + Collaborate with security, compliance, and legal teams to ensure adherence to regulatory standards and privacy requirements. + Establish and enforce data localization controls, ensuring data residency, sovereignty, and regional storage/processing requirements are met across all relevant jurisdictions. Innovation and Continuous Improvement + Stay current emerging technologies and trends across Data Cloud, AI, and ML evaluating opportunities for adoption. + Develop reusable architectural patterns, accelerators, and reference designs to streamline delivery. + Continuously refine the data and AI architecture to support business growth, agility, and innovation. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Building Multi-Tenant ASP.NET Core Applications: Best Practices and Real-World Solutions](https://www.wearedevelopers.com/videos/1552-building-multi-tenant-asp-net-core-applications-best-practices-and-real-world-solutions) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)