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Principal Data Engineer, Growth AnalyticsAutodesk • United States
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Principal Data Engineer, Growth Analytics

Autodesk
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

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 scalable data products, reporting layers, and analytics-ready infrastructure
Create and maintain clear documentation for source systems, pipelines, data models, metric definitions, BI assets, and AI-ready datasets
Lead technical design discussions, make architecture recommendations, and mentor analytics, BI, and data partners on scalable data practices
Help move AOS from fragmented reporting and manual data processes toward a reliable, governed, and scalable intelligence layer
Minimum Qualifications
8+ years of experience in data engineering, analytics engineering, data platform engineering, or a related technical role
Proven experience building data platforms, analytics environments, or major data infrastructure from scratch or through significant transformation
Deep hands-on experience with Snowflake
Strong Scripting, SQL and Python skills
Experience building production-grade pipelines, integrations, orchestration workflows, and transformation logic
Experience with modern data ingestion tools ingestion tool such as Fivetran, Airflow + Python, dbt, Pyspark or similar technologies
Experience building BI environments such as Power BI or Looker
Strong understanding of data modeling, semantic layers, governed metrics, access control, documentation, lineage, data quality, and observability
Experience preparing data infrastructure for AI, ML, LLM, advanced analytics, or internal intelligence use cases
Ability to work with ambiguity, clarify requirements, and turn business needs into scalable technical solutions
Strong communication skills with technical and non-technical stakeholders
Experience supporting internal analytics, growth analytics, product Strategy & Operations, GTM analytics, finance analytics, or business operations teams
Experience integrating data from systems such as Salesforce, Marketo, finance platforms, product usage systems, planning tools, and operational systems
Experience creating AI-ready data assets, metadata layers, governed knowledge layers, feature-ready datasets, or semantic models
Experience designing standards for BI development, data documentation, metric governance, and data product delivery
Experience in B2B SaaS, enterprise software, or complex matrixed organizations
Track record of building zero-to-one data infrastructure in an environment with fragmented systems, evolving requirements, and limited existing standards
Ideal Candidate Profile
The ideal candidate is a senior builder who can create order from ambiguity. They have built reliable data infrastructure before, know how to connect messy enterprise systems, and understand that a strong analytics function depends on trusted pipelines, clear definitions, governed BI layers, and well-documented AI-ready data assets. They are comfortable being hands-on while also setting direction. They can write code, design architecture, define standards, explain tradeoffs, and partner with business stakeholders. They care about building systems that are reliable, usable, well-documented, and scalable.
Success in This Role Looks Like
A reliable Snowflake-based data foundation is in place for AOS Analytics
Key internal data sources are connected through scalable, observable pipelines
Power BI and Looker environments are governed, performant, and easier for teams to use
Core metrics and business definitions are documented and consistently applied
Internal stakeholders and product Strategy & Operations teams can access trusted data products instead of relying on manual reporting
AI-ready datasets, metadata, and documentation are available to support internal intelligence and advanced analytics solutions
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $128,000 and $229,900. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
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  • United States

Compétences linguistiques

  • English
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