Principal Data Engineer, Growth Analytics

Job Requisition ID #

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