Senior Data Architect – Enterprise Data Strategy

🕒 April 11

🏄 California – Remote

🏄 California – Remote

💵 $143k - $256.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

📱 Media

Architecture • Engineering • Media

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• 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

🎯 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

🏖️ Benefits

• health and financial benefits • time away • everyday wellness