MathWorks
Data Architect
🇺🇸
Natick, MA
🕑
Full-Time
💰
$140K - $224K
💻
Data Science
🗓️
April 27th, 2026
Edtech.com's Summary
MathWorks is hiring a Data Architect. The role involves shaping enterprise data and AI strategy, advancing core data capabilities, and leading the execution of complex cross-functional initiatives. The Data Architect collaborates with business and technical stakeholders to design scalable data solutions, enforce governance, and drive innovation.
Highlights
- Define and implement enterprise data and AI architecture aligned with business goals.
- Establish architectural standards, principles, and multi-year roadmaps for data platforms and AI enablement.
- Partner with stakeholders to translate requirements into measurable data solutions.
- Lead data governance frameworks, including data ownership, quality, and regulatory compliance.
- Collaborate with security, compliance, and legal teams to ensure data privacy and localization.
- Stay updated on emerging Data Cloud, AI, and ML technologies to drive adoption and innovation.
- Develop reusable architectural patterns and accelerate delivery processes.
- Require 20+ years hands-on experience in enterprise data platforms, AI architecture, governance, and quality.
- Preferred qualifications include cloud architecture or data engineering certifications and expertise in responsible AI and data ethics.
- Offer salary range from $140,000 to $224,000.
Data Architect Full Description
Data Architect
- Team: Business Applications and Tools
- Location: US-MA-Natick
- Salary Range: $140,000 - $224,000
Job Summary
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.
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