Job Requisition ID #26WD98052Position OverviewAt 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.ResponsibilitiesArchitect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data accessthat support LLMs and agentic workflowsoptimized for:Retrieval (e.g., embeddings, vector search)Contextual data accessReal-time and iterative feedback loopsPartner with AI/ML teams to operationalize:Feature engineering and feature storesRAG-based systems and evaluation pipelinesEnsure data quality and observability meet the needs of AI-driven decision systemsGuide build vs. buy decisions for data tooling and platformsEnable analysts and product teams with trusted, well-modeled datasetsPartner with stakeholders to translate product questions into measurable data signalsImprove instrumentation strategy to ensure high-quality behavioral dataSupport self-service analytics and AI-assisted explorationCollaborate across Product, Engineering, Data Science, Research and DesignInfluence technical direction without direct authorityDrive alignment on data standards, governance, and best practicesCommunicate complex technical concepts to both technical and non-technical audiencesMinimum Qualifications10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systemsStrong hands-on experience with Python, Spark, PySpark, advanced SQL, and scriptingExperience with:LLM ecosystems, embeddings, vector databasesRetrieval-augmented generation (RAG)Agent frameworks or orchestration systemsExperience with streaming technologies (Kafka, Flink, Spark Streaming)Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)Experience with data governance, lineage, and cataloging systemsExposure to product analytics and experimentation frameworksExperience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checksExperience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologiesHands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructureDemonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineersStrong communication skills with technical and non-technical stakeholders.Preferred QualificationsExperience with product telemetry, clickstream data, behavioral analytics, or experimentation platformsExperience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similarExperience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilitiesExperience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environmentsTrack record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standardsLearn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $120,000 and $176,000. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belongingAre you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
View Original Job Posting