Senior Data Architect – Enterprise Data Strategy

Autodesk

About The Position

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.

Requirements

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 Haves

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

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 global teams
Drive consistency in architectural documentation and decision-making frameworks
Foster a culture of pragmatic, business-aligned, AI-ready data thinking

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.
Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

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