Principal Data Engineer, User Success
On-site · Toronto, Ontario, Canada
Job Summary
Principal Data Engineer at Autodesk, leading AI-ready data products and scalable data pipelines for product telemetry, enabling AI-native experiences with LLMs and agentic workflows. Responsibilities include designing scale batch/streaming pipelines, feature engineering, RAG-based systems, data governance and observability, cross-functional leadership, and communicating complex data concepts to technical and non-technical stakeholders. Requires 10+ years in data engineering, strong Python/Spark/SQL skills, experience with LLM ecosystems, streaming tech, and modern data platforms. Location: Toronto, Canada (onsite).
Required Qualifications
- 10+ years of experience in data engineering or related technical roles
- Strong hands-on experience with Python, Spark, PySpark, SQL and scripting
- Experience with LLM ecosystems, embeddings, vector databases, Retrieval-augmented generation (RAG)
- Experience with streaming technologies (Kafka, Flink, Spark Streaming)
- Knowledge of analytics engineering and semantic layer tools (dbt)
- Experience with data governance, lineage, and cataloging systems
- Experience designing and operating reliable ETL/ELT pipelines across batch/streaming
- Experience with AWS services (EMR, Glue, S3, IAM, Lambda, Step Functions)
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