Senior Data Architect – Enterprise Data Strategy

Location: California

** Job

Requisition  #
** 26WD96409
* * Position Overview
** Autodesk is seeking a Senior Data Architect to join our Data Architecture team, which is responsible for defining and evolving the long-term data architecture vision.

This role operates at the strategic layer of architecture — shaping how data is structured, governed, activated, and leveraged across operational systems (Sales, Marketing, Support, Finance), customer-facing platforms (digital experience, subscriptions, personalization), and analytics and AI/ML ecosystems.

While this is a strategy-defining role, it is not purely conceptual. The ideal candidate is deeply technical and hands-on — capable of whiteboarding system flows, refining logical data models, reviewing integration designs, and mentoring engineers and architects to ensure the strategy is grounded in implementation reality. A critical dimension of this role is the ability to proactively identify opportunities to unlock enterprise data for AI-driven workflows — enabling automation, intelligent decisioning, personalization, and new product capabilities through well-architected, trusted data foundations.

You will partner with senior enterprise and solution architects to ensure Autodesk’s data ecosystem evolves cohesively and scales to support new business models, customer experiences, and AI-powered innovation.
** Key Responsibilities
*** Establish and evolve the enterprise data architecture vision aligned to Autodesk’s business strategy and digital transformation goals
* 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
* Design and validate end-to-end data flows that traverse multiple enterprise systems
* Identify architectural fragmentation and define modernization strategies
* Ensure operational and analytical architectures are cohesive and mutually reinforcing
* Engage directly in whiteboarding sessions, integration design reviews, and model refinement with engineering teams
* Guide translation of conceptual and logical models into implementable physical designs
* Review APIs, event schemas, data contracts, and pipeline architectures to ensure alignment with enterprise standards
* Provide practical implementation guidance for AI/ML, personalization, and real-time data use cases
* Lead by example with architectural artifacts that engineering teams can operationalize
* Partner with business, product, and engineering leaders to align data capabilities with business priorities
* Collaborate with enterprise and domain architects to align roadmaps and architectural decisions
* Influence funding and roadmap decisions before delivery begins
* Facilitate architectural governance processes and design reviews
* Establish scalable approaches for data management and authoritative data sources
* Define patterns for data contracts, lineage, observability, and quality validation
* Ensure architecture supports privacy, compliance, security, and financial controls
* Embed governance into architecture without creating unnecessary process overhead
* Mentor data architects and senior engineers on modeling, integration patterns, and system design
* Elevate architectural maturity across distributed…