Senior Director, Data Engineering

AUTODESK TLV

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.
  • The role partners closely with the Platform Services and Emerging Technologies (PSET) Infrastructure organization to ensure data engineering solutions are built on secure, scalable, and resilient platforms, while establishing clear governance standards, common data models, and shared metrics that influence how teams across Autodesk build and use data.
  • From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.

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 common data models
  • Modern data lake formats
  • Data lineage, observability, privacy, compliance
  • AI/ML application enablement

Nice-to-have

  • Cross-functional leadership
  • Executive-level communication
  • Continuous optimization mindset
  • Culture of belonging
  • Building a better world

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
  • Demonstrated track record in governance, lineage, compliance, cost optimization
  • Exceptional executive communication and influencing skills

Work Rights

Not specified

Tailored Resume

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