Autodesk
Technology
PrincipalDataEngineer,GrowthAnalytics
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal Data Engineer, Growth Analytics at Autodesk. Skills: Data engineering, Snowflake, Data pipelines, BI development. Architect and build core data environment. Design, implement, and maintain data pipelines”
What You'll Achieve.
Reliable Snowflake-based data foundation; Connect key internal data sources; Governed, performant BI environments; Consistently applied core metrics; Access trusted data products; Available AI-ready datasets
Industry & Context.
Root cause analysis; Troubleshooting; Clarify requirements; Turn business needs into solutions
What They're Looking For.
Must Have
8+ years of experience, Proven experience building data platforms, Deep hands-on experience with Snowflake, Scripting, SQL and Python skills, Experience building production-grade pipelines, Experience with modern data ingestion tools, Experience building BI environments, understanding of data modeling, Experience preparing data infrastructure for AI, Ability to work with ambiguity, communication skills, Experience supporting internal analytics, Experience integrating data from systems, Experience creating AI-ready data assets, Experience designing standards for BI development, Experience in B2B SaaS, Track record of building zero-to-one data infrastructure
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Architect and build core data environment
and maintain data pipelines
Build reusable data models
Develop and manage BI environments
Build AI-ready data layers
Establish standards for data quality
Partner with stakeholders
Translate business questions into data products
Create and maintain documentation
Lead technical design discussions
Make architecture recommendations
Help move AOS toward intelligence layer
How You'll Work.
Team & Collaboration
Partner with internal stakeholders; Mentor analytics, BI, and data partners
Communication Scope
Technical documentation; Business presentations
Process & Methodology
Roadmap planning
Full Job Description
**Job Requisition ID #** 26WD98669 **Position Overview** Autodesk Operation Solutions is hiring a **Principal Data Engineer** to build the Analytics foundational data environment. This role will lead the design and development of internal data infrastructure, system connections, pipelines, BI environments, AI-ready data layers, documentation, etc. that serve AOS internal stakeholders and product/ops teams. The role has high visibility, broad internal impact, and the chance to shape how AOS uses data, BI, and AI to support planning, operations, growth, and strategic decision-making. This is a hands-on technical leadership role for someone who has built analytics infrastructure from the ground up. The ideal candidate is strong in Snowflake, fluent in modern data engineering practices, and comfortable creating the data foundation required for business intelligence, advanced analytics, and AI-enabled decision support. **Responsibilities** * Architect and build the core Growth Analytics data environment with Snowflake as the central platform * Design, implement, and maintain scalable data pipelines, integrations, and transformation workflows across internal business, product, operational, sales, marketing, finance, and planning systems * Build trusted, reusable data models and curated datasets to support internal analytics, reporting, forecasting, growth planning, and Strategy & Operations workflows * Develop and manage BI environments in Power BI and Looker, including semantic models, governed datasets, dashboard foundations, access patterns, and performance standards * Build AI-ready data layers to support internal intelligence solutions, including structured datasets, metadata, documentation, business definitions, and governed access patterns * Establish standards for data quality, testing, observability, lineage, documentation, naming conventions, metric definitions, and production reliability * Partner with internal stakeholders to translate business questions into
Applying for this Principal Data Engineer, Growth Analytics role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Autodesk?
Real rants from real employees. Read before you apply.