Data Architect

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.

### **Responsibilities**

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.

### **Minimum Qualifications**

• 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.

**Why MathWorks?**

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It's the chance to collaborate with bright, passionate people. It's the opportunity to accelerate the pace of discovery, innovation, and learning in engineering and science. And it’s a commitment to doing the right thing—for each individual, our customers, and the local community. We cultivate an enjoyable, participatory, and rational environment that champions individual growth, encourages initiative, values collaboration, shares success, and rewards excellence.

MathWorks develops MATLAB and Simulink, the leading technical computing software used by engineers and scientists. The company employs more than 6,500 people in 16 countries, with headquarters in Natick, Massachusetts, USA. MathWorks is privately held and has been profitable every year since its founding in 1984.

**YOU + MathWorks = Unlimited Possibilities**