Principal Data Engineer

Job description

Position Overview
 

Autodesk is seeking a Principal Data Engineer to lead the design, architecture, and evolution of enterprise-scale data platforms and pipelines. This role is pivotal in shaping Autodesk’s data ecosystem, enabling scalable, high-performance data solutions that power analytics, AI/ML, and business decision-making.
 

You will operate as a technical leader and architect, partnering with cross-functional stakeholders—including Data Science, AI/ML, Product, Finance (FinOps), and Engineering—to deliver robust, scalable, and cost-efficient data solutions. This role demands deep expertise in distributed data systems, cloud data platforms, and modern data architecture patterns, combined with strong leadership and mentoring capabilities.

Roles and Responsibilities
 

Technical Leadership & Architecture
 

• Lead the end-to-end design and implementation of scalable data architectures and pipelines (batch + real-time)

• Define and drive data engineering strategy and roadmap aligned with Autodesk’s enterprise data platform vision

• Architect solutions leveraging AWS, Azure, Snowflake, and modern data stack tools

• Design and optimize data models, lake architectures, and data mesh frameworks for analytics and ML use cases
   

Data Platform & Pipeline Engineering
 

• Build and maintain high-performance, resilient, and cost-optimized data pipelines

• Implement real-time and streaming architectures using frameworks such as Spark, Kafka, or Kinesis

• Develop robust ETL/ELT pipelines and data integration workflows using tools like Airflow, Fivetran

  This is an excerpt. Read the full job description on Autodesk careers →