Senior Principal Data Engineer

Job Requisition ID # 26WD96752 Position Overview Autodesk is a global leader in 3D design, engineering, and entertainment software, empowering innovators to design and make a better world. Our platforms support millions of users across industries including architecture, engineering, construction, manufacturing, and media. The Growth Experience Technology (GET) organization is seeking a Senior Principal Data Engineer to lead the evolution of our enterprise data ecosystem powering digital experience, commerce, and customer intelligence platforms. This is a high-impact technical leadership role responsible for defining architecture, scaling data platforms, and enabling AI-driven personalization and decision intelligence at global scale. You will operate across multiple teams as a technical authority, mentor, and strategic driver, shaping both execution and long-term vision. Responsibilities Technical Leadership & Architecture Own and drive the end-to-end data architecture strategy for large-scale distributed data platforms supporting analytics, Applied AI, and personalization Design and oversee highly scalable, low-latency data pipelines (batch and streaming) for real-time and near real-time use cases Lead architectural decisions across technologies such as Snowflake, Spark, Flink, Iceberg, Kafka, and AWS ecosystem Define and enforce data modeling standards (conceptual, logical, physical) across enterprise domains Evaluate and adopt emerging technologies, including Generative AI and AI-assisted engineering tools, to enhance platform capabilities Data Platform & Engineering Excellence Establish best practices for DataOps, including CI/CD, observability, data quality, testing frameworks, and reliability engineering Drive improvements in data quality frameworks, governance, lineage, and monitoring Standardize engineering patterns, frameworks, and reusable components across teams Lead the design and implementation of enterprise-grade ETL/ELT pipelines using tools such as DBT, Python, and SQL Ensure systems meet performance, scalability, security, and cost optimization requirements AI & Advanced Data Use Cases Architect platforms enabling model training, inference, and personalization at scale Support development of customer data platforms, behavioral analytics, and segmentation systems Enable Generative AI use cases, including intelligent data discovery, self-service analytics, and automation of data workflows Leadership, Mentorship & Influence Act as a force multiplier across multiple scrum teams (7–9 engineers per team), mentoring senior engineers and technical leads Provide guidance during critical production incidents, root cause analysis, and system recovery Drive alignment across engineering, product, architecture, and business stakeholders globally Influence and define technical strategy, roadmaps, and cross-organizational standards Represent engineering in executive-level discussions and cross-functional initiatives Business & Stakeholder Alignment Translate business requirements (GTM, sales, finance, customer analytics) into scalable technical solutions Partner with product, analytics, and business teams to deliver actionable insights and data products Lead discussions on trade-offs, prioritization, and architectural decisions in ambiguous environments Minimum Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 12 years of experience in software and data engineering for enterprise-scale systems Deep expertise in: Data architecture & distributed systems design Big data technologies: Spark, Flink, Kafka, Iceberg, Parquet Cloud platforms: AWS (S3, Lambda, ECS/EKS, etc) Data warehousing: Snowflake (preferred) Advanced proficiency in SQL, Python, and modern ELT frameworks (e.g., DBT) Strong experience in data modeling, query optimization, and performance tuning Proven experience building event-driven architectures and streaming pipelines Experi ... (truncated, view full listing at source)