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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - Enterprise Data Strategy - **Company:** BINGHAMTOM UNIVERSITY - **Location:** United States - **Experience:** Expert - **Salary:** $143,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Data Architecture, Machine Learning, Data Streaming, Data Strategy, Event Driven Architecture, AI Platforms, Integration Frameworks, Real Time Data, Data Management, Machine Learning Operations, Api Design, Autodesk Autocad - **Published:** September 5, 2026 - **Apply:** https://www.themuse.com/jobs/autodesk/senior-data-architect-enterprise-data-strategy?utm_source=uconnect ## About the Role * 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, * 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 ## Description 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., * 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 ## Related Videos - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)