Job Requisition ID #
26WD100065
Position Overview
As a member of the Autodesk Finance Transformation team, you will be responsible for designing, developing, and maintaining data platforms, pipelines, and products that support operational reporting, AI agents and applications, dashboards, metrics, and financial decision-making for our partners across Finance. This position will play a key role in our continuing drive to advance the maturity of Finance-owned data products and engineering best practices within the Finance BI organization.
The ideal candidate will bring deep technical expertise in modern data engineering practices. In this role, you will partner closely with Finance stakeholders, Finance BI Developers, Analytics teams, and the Growth Experience Technology (GET) organization to build reliable, scalable, and governed data solutions.
As Finance expands its use of AI-enabled analytics, this role will help develop data products that support not only traditional reporting and dashboarding, but also emerging LLM-powered exploration and future agentic workflows. Candidates should demonstrate curiosity about AI technologies and possess a working understanding of how Large Language Models interact with enterprise datasets and modern development tools.
What you'll do
Design, develop, and maintain scalable data pipelines, data models, and data products within Snowflake to support Finance reporting, analytics, and business operations
Act as the primary data engineering partner for Finance BI Developers and business stakeholders, helping translate business requirements into sustainable and scalable data solutions
Drive adoption of data engineering best practices, including data modeling standards, testing frameworks, monitoring, documentation, governance, and operational excellence
Balance business requirements with technical feasibility and set expectations. Determine the size of requests and communicate effort, dependencies, and priorities to management
Design and maintain dimensional models, curated data layers, and reusable datasets that support reporting, dashboarding, and self-service analytics
Improve data quality, reliability, performance, and maintainability across Finance-owned data products and pipelines
Partner with engineering teams to align Finance solutions with broader architectural standards at Autodesk
Maintain up-to-date knowledge of modern data engineering tools, technologies, and industry best practices
Requirements
Expert-level proficiency with Snowflake and modern cloud data warehousing concepts
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent work experience, Master’s degree desirable
5+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering roles
5+ years of experience developing and maintaining ETL/ELT pipelines and enterprise-scale data solutions
Strong proficiency with SQL and experience with modern data engineering tools and frameworks for orchestration, transformation, and automation
Strong understanding of dimensional modeling, data warehousing concepts, and analytical data structures
Experience implementing data quality controls, testing frameworks, monitoring, and operational best practices
Strong analytical and problem-solving skills
High self-motivation and strong delivery focus
Excellent teamwork and relationship development skills
Nice to have
Experience supporting Finance, Sales Finance, Revenue Operations, or FP&A organizations within a subscription-based software or SaaS business
Experience building scalable data products that support business intelligence, financial reporting, and self-service analytics
Working knowledge of BI and analytics platforms such as Power BI, Tableau, Qlik Sense, or similar technologies
Demonstrated interest in generative AI technologies, with hands-on experience experimenting with or building applications that leverage Large Language Models
Familiarity with emerging AI application architectures, including agentic workflows, AI Skills, Model Context Protocol (MCP) servers, and related technologies
Experience using AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or similar platforms to improve engineering productivity and solution quality
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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!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
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