Autodesk
PrincipalDataEngineer,UserSuccess(AgenticExperiences)
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optimal for Principal candidates.
“Principal Data Engineer, User Success (Agentic Experiences) at Autodesk. Skills: Data Engineering, AI-native experiences, Agentic experiences, Data products. Architect batch pipelines. Implement batch pipelines”
What They're Looking For.
Must Have
10+ years data engineering, 10+ years data platform engineering, 10+ years distributed systems, Ownership of large-scale production data systems, Hands-on Python, Hands-on Spark, Hands-on PySpark, Hands-on advanced SQL, Hands-on scripting, Experience with LLM ecosystems, Experience with embeddings, Experience with vector databases, Experience with RAG, Experience with agent frameworks, Experience with orchestration systems, Experience with streaming technologies, Knowledge of analytics engineering, Knowledge of semantic layer tools, Experience with data governance, Experience with data lineage, Experience with data cataloging systems, Exposure to product analytics, Exposure to experimentation frameworks, Experience designing ETL/ELT pipelines, Experience operating ETL/ELT pipelines, Experience with batch workloads, Experience with streaming workloads, Experience with orchestration, Experience with validation, Experience with backfills, Experience with incremental processing, Experience with data quality checks, Experience with modern data platforms, Hands-on AWS services, Demonstrated ability to lead technical initiatives, Demonstrated ability to influence architecture, Demonstrated ability to define engineering standards, Demonstrated ability to mentor engineers, Communication skills with stakeholders
Nice to Have
Experience with product telemetry, Experience with clickstream data, Experience with behavioral analytics, Experience with experimentation platforms, Experience with ingestion tools, Experience with orchestration tools, Experience with transformation tools, Experience partnering with product teams, Experience partnering with design teams, Experience partnering with research teams, Experience partnering with analytics teams, Experience partnering with ML teams, Experience supporting LLM workflows, Experience supporting RAG workflows, Experience supporting agentic AI workflows, Experience supporting internal intelligence workflows, Track record of modernizing data infrastructure
What You'll Do.
Architect batch pipelines
Implement batch pipelines
Architect streaming pipelines
Implement streaming pipelines
Operationalize feature engineering
Operationalize feature stores
Operationalize RAG systems
Operationalize evaluation pipelines
Ensure data observability
Guide build vs. buy decisions
Enable analysts with datasets
Enable product teams with datasets
Translate product questions
Improve instrumentation strategy
Support self-service analytics
Support AI-assisted exploration
Collaborate across Product
Collaborate across Engineering
Collaborate across Data Science
Collaborate across Research
Collaborate across Design
Influence technical direction
Drive alignment on data standards
Drive alignment on data governance
Drive alignment on best practices
Communicate technical concepts
How You'll Work.
Team & Collaboration
Cross-functional technical initiatives; Product teams; Engineering teams; Data Science teams; Research teams; Design teams; Technical stakeholders; Non-technical stakeholders
Communication Scope
Communicate complex concepts
Full Job Description
**Job Requisition ID #** 26WD98052 **Position Overview** At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster. The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform—we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact. As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products. This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk. ## **Responsibilities** * Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access * that support LLMs and agentic workflows * optimized for: * Retrieval (e.g., embeddings, vector search) * Contextual data access * Real-time and iterative feedback loops * Partner with AI/ML teams to operationalize: * Feature engineering and feature stores * RAG-based systems and evaluation pipelines * Ensure data quality and observability meet the needs of AI-driven decision systems * Guide build vs. buy decisions for data tooling and platforms * Enable analysts and product teams with trusted, well-modeled datasets * Partner with stakeholders to translate product questions into measurable data signals * Impro
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