Senior Data Architect – Enterprise Data Strategy

Autodesk Autodesk · Enterprise · California, USA · Remote

Senior Data Architect responsible for defining the enterprise data architecture vision, focusing on structuring, governing, and activating data for operational systems, customer platforms, and AI/ML ecosystems. The role requires a deep technical understanding to guide implementation and identify opportunities to leverage enterprise data for AI-driven workflows, automation, and intelligent decisioning. This includes designing scalable data foundations for AI systems and ensuring machine learning pipelines are grounded in authoritative data.

What you'd actually do

  1. Establish and evolve the enterprise data architecture vision aligned to Autodesk’s business strategy and digital transformation goals
  2. Define enterprise data domains and ownership models across operational, customer, and analytical ecosystems
  3. Develop guiding principles and guardrails for how data is created, shared, mastered, governed, and activated
  4. Shape architectural patterns that support data products, domain-oriented ownership, and modern data paradigms
  5. Identify enterprise data assets that can be activated to power AI/ML, personalization, automation, and intelligent decisioning

Skills

Required

  • 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

Nice to have

  • Experience as a Principal, Lead, or Enterprise Architect in a global organization
  • Expertise in API-first and event-driven integration architectures at scale
  • Experience enabling enterprise AI platforms or intelligent automation initiatives
  • Experience implementing domain-oriented or data mesh-inspired architectures
  • Experience with master data management and enterprise governance frameworks
  • Strong executive communication and facilitation skills
  • Demonstrated experience mentoring architects and senior engineers

What the JD emphasized

  • AI-driven workflows
  • AI/ML
  • AI-powered innovation
  • AI/ML pipelines
  • AI systems
  • AI/ML, personalization, and real-time data use cases
  • AI-ready data thinking

Other signals

  • Defining and evolving the long-term data architecture vision
  • Shaping how data is structured, governed, activated, and leveraged across operational systems, customer-facing platforms, and analytics and AI/ML ecosystems
  • Proactively identify opportunities to unlock enterprise data for AI-driven workflows
  • Partner with AI/ML and product teams to define scalable, reusable data foundations for experimentation and production AI systems
  • Provide practical implementation guidance for AI/ML, personalization, and real-time data use cases