Base: based on experience + location; bonus/equity...
Not specified
12+ years software and data engineering experience
Expertise in spark, flink, kafka, iceberg
Deep knowledge of aws ecosystem and snowflake
Autodesk is seeking a Senior Principal Data Engineer to lead the evolution of its enterprise data ecosystem, focusing on data architecture and AI-driven solutions. The ideal candidate will have extensive experience in data engineering, strong technical leadership skills, and a passion for leveraging data to drive business transformation
Job Summary
This high-impact technical leadership role is responsible for defining the architecture and scaling of Autodesk's enterprise data ecosystem to support digital experience and commerce.
The successful candidate will act as a force multiplier across multiple scrum teams, mentoring senior engineers while driving alignment on technical strategy and roadmaps.
Autodesk offers a competitive compensation package including base salaries, annual cash bonuses, stock grants, and comprehensive benefits designed to support meaningful work that helps build a better world.
Matching Summary
Match Score: 85
Autodesk is seeking a Senior Principal Data Engineer to lead the evolution of its enterprise data ecosystem, focusing on data architecture and AI-driven solutions. The ideal candidate will have extensive experience in data engineering, strong technical leadership skills, and a passion for leveraging data to drive business transformation.
Salary
Base: Based on experience and location; Bonus/Equity: Annual cash bonuses and stock grants included; Benefits: Comprehensive benefits package offered
Skills & Requirements
Must-have
12+ years software and data engineering experience
Expertise in Spark, Flink, Kafka, Iceberg
Deep knowledge of AWS ecosystem and Snowflake
Advanced SQL, Python, and DBT proficiency
Experience with event-driven streaming architectures
Proven track record leading multi-team initiatives
Nice-to-have
Experience with Generative AI applications
Background in Customer Data Platforms (CDP)
Familiarity with Splunk or Dynatrace observability tools
Knowledge of GTM systems and sales planning
Experience delivering production ML pipelines
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
12+ years of experience in enterprise-scale data engineering
Strong communication skills to influence senior stakeholders globally