Principal Data Engineer, Growth Analytics

Autodesk

Remote

Quick summary

Work type
Remote
Location
Massachusetts
Salary
$128,000–$229,900 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $179k
$116k most similar roles pay here $242k

This role pays more than 54% of similar roles. Most pay $139,500–$215,662 — the shaded band above. At the midpoint, this role pays about $179k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Autodesk

Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.

Autodesk currently has 40 open roles on FindRole.

Listed pay typically runs $139,000–$249,260 across 38 roles with salary data.

Most-posted roles

View all roles at Autodesk

At a glance

TL;DR · Principal Data Engineer, Growth Analytics

The Principal Data Engineer role at Autodesk Operation Solutions involves leading the design and development of an internal data infrastructure to support analytics, BI, and AI initiatives. This hands-on technical leadership position requires building a Snowflake-based core environment, designing scalable data pipelines, creating trusted data models, and developing BI environments in Power BI and Looker. The ideal candidate has extensive experience with modern data engineering practices, including Snowflake, Python, SQL, dbt, and Fivetran, and can establish standards for data quality, testing, observability, and documentation. This role is crucial for transforming fragmented reporting into a reliable, governed intelligence layer that supports strategic decision-making across various internal teams in the B2B SaaS space.

What you'll do

  • Architect and build the core Growth Analytics data environment using Snowflake.
  • Design and maintain scalable data pipelines and transformation workflows across systems.
  • Develop trusted, reusable data models to support internal analytics and reporting.
  • Build and manage BI environments in Power BI and Looker for governed datasets.
  • Establish standards for data quality, testing, observability, and documentation.
  • Create AI-ready data layers with structured datasets and metadata for advanced analytics.

What we're looking for

  • 8+ years of experience in data engineering or related technical role
  • Proven experience building data platforms from scratch or through significant transformation
  • Deep hands-on experience with Snowflake and modern data ingestion tools
  • Strong scripting, SQL, Python skills for production-grade pipelines and integrations
  • Experience building BI environments like Power BI or Looker and AI-ready data layers
  • Strong understanding of data modeling, governance, documentation, and observability standards

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