Principal Data Engineer, Growth Analytics

🕒 Junho 2

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

💵 $128.000 - $229.900 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Autodesk

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1982

📱 Mídia

Architecture • Engineering • Media

A Autodesk é líder global em software para designers, engenheiros, construtores e criadores. A empresa oferece um portfólio abrangente de aplicativos de design e engenharia, incluindo produtos populares como AutoCAD, Revit e 3ds Max. Por meio de sua plataforma Design and Make, a Autodesk capacita profissionais de diversos setores a projetar, visualizar e gerenciar projetos com eficiência, fomentando a inovação e a sustentabilidade em arquitetura, engenharia, construção e manufatura.

Descrição

• 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

🎯 Requisitos

• 8+ years of experience in data engineering, analytics engineering, or 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 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 • 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

🏖️ Benefícios

• health and financial benefits • time away and everyday wellness