Senior Director, Data Engineering

Autodesk

San Francisco, CA, United States
Base: $210,800 - $341,000; bonus/equity: annual ca...
Hybrid
End-to-end data engineering strategy
Batch and real-time data platforms
Enterprise data solutions and ai enablement
This role is accountable for defining how data is adopted and operationalized at enterprise scale to drive measurable business outcomes, not just technical availability

Job Summary

  • This role is accountable for defining how data is adopted and operationalized at enterprise scale to drive measurable business outcomes, not just technical availability.
  • Success in this role is measured by active business adoption, improved decision velocity, and sustained value creation from data investments.
  • As a senior leader, you will guide a global organization to deliver AI-ready data solutions, shape company-wide data practices, and prioritize investments based on business impact, cost discipline, and long-term scalability.

Matching Summary

This role is accountable for defining how data is adopted and operationalized at enterprise scale to drive measurable business outcomes, not just technical availability.

Salary

Base: $210,800 - $341,000; Bonus/Equity: annual cash bonuses, stock grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • End-to-end data engineering strategy
  • Batch and real-time data platforms
  • Enterprise data solutions and AI enablement
  • Data governance and cost optimization
  • Modern data lake formats
  • Data lineage and observability
  • Cross-functional leadership and executive communication

Nice-to-have

  • Shaping company-wide data practices
  • Continuously optimizing data and AI ecosystem
  • Building a diverse and inclusive culture
  • Driving alignment across complex organizations

Key Requirements

  • 15+ years of data engineering leadership
  • 8+ years managing large, multi-team organizations
  • Proven expertise in real-time data platforms
  • Extensive experience with lakehouse and warehouse platforms
  • Hands-on experience with modern data lake formats
  • Strong knowledge of Master Data Management (MDM)
  • Designed enterprise data models for BI
  • Demonstrated track record in governance, lineage, compliance, cost optimization
  • Exceptional executive communication and influencing skills

Work Rights

Not specified

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