Data Architect (35921-MCAR)
Role details
Job location
Tech stack
Job description
We are seeking a highly seasoned Data Architect (Individual Contributor) with 20+ years of handson experience spanning enterprise data platforms, AI data architecture, data governance, and data quality. The ideal candidate is a selfdriven, collaborative, and deeply technical leader who thrives on partnering with business and technology stakeholders to design and deliver enterprisescale data and AI solutions.
In this senior individualcontributor role, you will shape the enterprise data and AI strategy, advance core data capabilities, and lead the endtoend execution of complex, crossfunctional 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. 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.
Requirements
- 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., * A bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.
