Software Engineering Manager, Data Platform

AUTODESK CONSTRUCTION CLOUD

Base: based on c + idate's experience + geographic...
Not specified (assumed hybrid)
8-12 years software or data engineering experience
3-5 years managing engineering teams
Experience with apache spark and pyspark
Autodesk Construction Cloud is seeking an experienced Software Engineering Manager to lead their Batch Processing platform team. The role focuses on building and scaling a high-throughput data platform that supports critical business decisions and integrates with Autodesk's AI products

Job Summary

  • This role leads a team responsible for building and scaling a high-throughput, governed data platform that powers critical business decisions including AI products.
  • The successful candidate will design scalable batch processing systems capable of handling billions of records at petabyte scale using modern lakehouse architecture.
  • Autodesk offers a competitive compensation package including base salaries, annual cash bonuses, stock grants, and comprehensive benefits.

Matching Summary

Match Score: 85

Autodesk Construction Cloud is seeking an experienced Software Engineering Manager to lead their Batch Processing platform team. The role focuses on building and scaling a high-throughput data platform that supports critical business decisions and integrates with Autodesk's AI products.

Salary

Base: Based on candidate's experience and geographic location; Bonus/Equity: Annual cash bonuses and stock grants included; Benefits: Comprehensive benefits package offered

Skills & Requirements

Must-have

  • 8-12 years software or data engineering experience
  • 3-5 years managing engineering teams
  • Experience with Apache Spark and PySpark
  • Proficiency in distributed compute frameworks
  • Knowledge of workflow orchestration tools like Airflow
  • Strong background in AWS cloud infrastructure
  • Deep understanding of lakehouse architectures

Nice-to-have

  • Experience with Apache Iceberg or Delta Lake
  • Familiarity with data observability tools
  • Exposure to metadata and catalog systems
  • AI-native leadership capabilities
  • Experience with Kubernetes controllers
  • Background in MLOps and Ray frameworks

Key Requirements

  • 8-12+ years in software or data engineering
  • 3-5+ years managing engineering teams
  • Proven ability to hire and mentor high-performing teams
  • Strong hands-on experience with distributed data processing
  • Deep understanding of data modeling and workflow orchestration

Work Rights

Not specified

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