Principal Data Engineer

AUTODESK TLV

California, United States
Base: $128,000 - $229,900; bonus/equity: annual ca...
Design and delivery of scalable data platform services
Enterprise-wide data engineering standards
Modern cloud data platforms (e.g., snowflake)
In this senior technical leadership role you will lead the design and delivery of scalable data platform services, robust data products, and enterprise-wide data engineering standards that power canonical records and analytics across the company

Job Summary

  • In this senior technical leadership role you will lead the design and delivery of scalable data platform services, robust data products, and enterprise-wide data engineering standards that power canonical records and analytics across the company.
  • Act as a technical leader and force multiplier across multiple data engineering teams: coach, mentor, and raise the bar on code quality, testing, and delivery practices.
  • 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

In this senior technical leadership role you will lead the design and delivery of scalable data platform services, robust data products, and enterprise-wide data engineering standards that power canonical records and analytics across the company.

Salary

Base: $128,000 - $229,900; Bonus/Equity: annual cash bonuses, stock grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • design and delivery of scalable data platform services
  • enterprise-wide data engineering standards
  • modern cloud data platforms (e.g., Snowflake)
  • orchestration and transformation tooling (dbt or similar)
  • data lake table formats and query engines
  • extensive AWS experience
  • designing solutions using cloud services and IaC

Nice-to-have

  • master data management
  • data enrichment
  • identity resolution
  • data quality practices
  • streaming/event-driven architectures
  • search/indexing systems

Key Requirements

  • 10+ years of hands-on software and data engineering experience
  • BS/MS in Computer Science or equivalent practical experience
  • Deep expertise with SQL, hive, dbt, Python & Snowflake
  • Strong experience designing data models
  • Practical experience with data lake table formats
  • Proven experience mentoring engineers

Work Rights

Not specified

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