Principal Data Engineer

Position Overview As a member of the Autodesk Finance Transformation team, you will be responsible for designing, developing, and maintaining data platforms, pipelines, and products that support operational reporting, AI agents and applications, dashboards, metrics, and financial decision-making for our partners across Finance. This position will play a key role in our continuing drive to advance the maturity of Finance-owned data products and engineering best practices within the Finance BI organization.The ideal candidate will bring deep technical expertise in modern data engineering practices.  In this role, you will partner closely with Finance stakeholders, Finance BI Developers, Analytics teams, and the Growth Experience Technology (GET) organization to build reliable, scalable, and governed data solutions.As Finance expands its use of AI-enabled analytics, this role will help develop data products that support not only traditional reporting and dashboarding, but also emerging LLM-powered exploration and future agentic workflows. Candidates should demonstrate curiosity about AI technologies and possess a working understanding of how Large Language Models interact with enterprise datasets and modern development tools.ResponsibilitiesDesign, develop, and maintain scalable data pipelines, data models, and data products within Snowflake to support Finance reporting, analytics, and business operationsAct as the primary data engineering partner for Finance BI Developers and business stakeholders, helping translate business requirements into sustainable and scalable data solutionsDrive adoption of data engineering best practices, including data modeling standards, testing frameworks, monitoring, documentation, governance, and operational excellenceBalance business requirements with technical feasibility and set expectations. Determine the size of requests and communicate effort, dependencies, and priorities to managementDesign and maintain dimensional models, curated data layers, and reusable datasets that support reporting, dashboarding, and self-service analyticsImprove data quality, reliability, performance, and maintainability across Finance-owned data products and pipelinesPartner with engineering teams to align Finance solutions with broader architectural standards at AutodeskMaintain up-to-date knowledge of modern data engineering tools, technologies, and industry best practicesMinimum QualificationsExpert-level proficiency with Snowflake and modern cloud data warehousing conceptsBachelor’s degree in Computer Science, Computer Engineering, or equivalent work experience, Master’s degree desirable8+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering roles8+ years of experience developing and maintaining ETL/ELT pipelines and enterprise-scale data solutionsStrong proficiency with SQL and experience with modern data engineering tools and frameworks for orchestration, transformation, and automationSt...