Software Architect, Autodesk

• 8+ years of software engineering experience with 3+ years in a system architecture / technical leadership role
• Strong experience designing distributed systems or data pipelines end-to-end (data contracts, quality controls, monitoring)
• Proven ability to write and review production code (one or more of: C++, Java, Python, TypeScript)
• Experience defining and evolving schemas/contracts with backward compatibility and migration plans
• Excellent communication: can align multiple teams, document decisions, and influence without authority
• Experience with telemetry/analytics event pipelines and “data quality by design” practices
• Familiarity with ETL/ELT tooling and patterns (batch pipelines, CDC, connectors, transformations)
• Models “One Autodesk” by uniting teams around shared outcomes and building trusted cross-team partnerships
• Communicates with clarity and honesty; surfaces risks early and drives alignment through transparency
• Brings an optimistic, learning-oriented mindset-uses data and feedback loops to improve systems
• Relentless about quality and operational excellence; defines measurable outcomes and follows through
• Brave and ingenious in solving hard problems - pragmatic, but willing to challenge the status quo

Desirable

• Autodesk Fusion Industry Cloud (FIC) is scaling its analytics platform to deliver trustworthy product-usage insights and operational “system state” signals across experiences, services, and pipelines
• This role is a senior technical leader responsible for end-to-end architecture, standards, and long-term technical direction for analytics reporting and System State Reporting (SSR)
• You will align multiple teams on a coherent design that is observable, testable, and scalable
• In this role, you’ll help build the data and telemetry foundations that teams rely on to make product decisions, improve reliability, and accelerate innovation
• You’ll partner across engineering, data, and product to turn ambiguous problems into practical, measurable systems
• Own end-to-end architecture for FIC analytics + System State Reporting (SSR), including ingestion, validation, enrichment, storage, and consumption
• Define a scalable approach for standardizing analytics event reporting across clients and services (schema/fields/taxonomy and versioning)
• Drive design reviews, decision logs, and technical roadmaps; communicate tradeoffs and align stakeholders
• Establish governance for analytics quality: validation strategy (compile-time vs runtime), fail-fast patterns, and measurable quality SLAs
• Define observability requirements for analytics pipelines (health signals, outage history, stakeholder visibility) and integration points with dashboards and BI tools
• Partner with global engineering teams to ensure clear ownership boundaries and predictable delivery
• Mentor engineers and raise the technical bar through coaching, design feedback, and reference implementations