Senior Data Architect – Enterprise Data Strategy

Autodesk

Senior Data Architect at Autodesk, defining enterprise data strategy for innovative solutions. Partnering with teams to enable AI-driven workflows and enhance data governance practices.

Posted 5/28/2026full-timeRemote • Washington • 🇺🇸 United StatesSenior💰 $143,000 - $256,520 per yearWebsite

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Hard Skills

data architecturedata modelingAI/MLautomationcloud-based systemsevent-driven systemsdata governancedata strategydata productsdata accessibility

Soft Skills

strategic thinkinginfluencing stakeholdersbusiness acumencollaborationproblem-solvingcommunicationleadershiphands-on technical designcross-functional teamworkadaptability

Tools & Technologies

CRM systemsERP systemsanalytics environmentsmarketing platformssubscription systemsdata pipelinesdata governance toolsAI systemsmachine learning frameworksdata management platforms

Industry Keywords

enterprise data domainsdata ownership modelsdata ecosystemsdata discoverabilitydata reuseconceptual data modelslogical data modelsoperational systemsanalytical systemsdata paradigms

Tech Stack

Tools & technologies

CloudERP

About the role

Key responsibilities & impact

Establish and evolve the enterprise data architecture vision aligned to Autodesk’s business strategy
Define enterprise data domains and ownership models across operational, customer, and analytical ecosystems
Develop guiding principles and guardrails for how data is created, shared, mastered, governed, and activated
Shape architectural patterns that support data products, domain-oriented ownership, and modern data paradigms
Identify enterprise data assets that can be activated to power AI/ML, personalization, automation, and intelligent decisioning
Design architectural patterns that make high-quality, governed data accessible for AI workflows across the organization
Ensure machine learning pipelines and AI systems are grounded in authoritative enterprise data domains
Partner with AI/ML and product teams to define scalable, reusable data foundations for experimentation and production AI systems
Remove systemic barriers that limit data discoverability, accessibility, and reuse
Create and maintain high-level conceptual and logical data models spanning CRM, ERP, Finance, subscription systems, marketing platforms, support systems, and analytics environments

Requirements

What you’ll need

10+ years of experience in software and data architecture roles in complex enterprise environments
Demonstrated experience defining enterprise-wide data strategy across operational and analytical systems
Experience enabling AI/ML, automation, or personalization through strong data foundations
Deep expertise in conceptual and logical data modeling across multiple domains
Strong experience architecting distributed, cloud-based, and event-driven systems
Proven ability to operate both strategically and hands-on in technical design discussions
Experience influencing cross-functional stakeholders without direct authority
Strong business acumen and ability to model data in business context.

Benefits

Comp & perks

Health and financial benefits
Time away and everyday wellness