How the world gets designed and made. #MakeAnything
Senior Data Architect – Enterprise Data Strategy
Location
United States
Posted
111 days ago
Salary
$143K - $256K / year
Seniority
Senior
No structured requirement data.
Job Description
Senior Data Architect – Enterprise Data Strategy
Autodesk
Job Requisition ID # 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 global teams - Drive consistency in architectural documentation and decision-making frameworks - Foster a culture of pragmatic, business-aligned, AI-ready data thinking Minimum Qualifications - 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 Preferred Qualifications - 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 Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! 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/ Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $143,000 and $256,520. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
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