Principal Data Engineer

Autodesk, Inc.; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Autodesk, Inc. Bengaluru is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and models in Snowflake for Finance reporting and analytics.

You will partner with Finance BI Developers and stakeholders to translate requirements into robust data solutions and promote best practices across governance, testing, and operations. The role supports AI-enabled analytics and evolving agentic workflows.

Qualifications

• 8+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
• 8+ years developing and maintaining ETL/ELT pipelines and enterprise-scale data solutions.
• Expert-level proficiency with Snowflake and modern cloud data warehousing concepts.
• Strong proficiency in SQL and experience with orchestration, transformation, and automation tools.
• Bachelor’s degree in CS/CE; Master’s degree desirable.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data models in Snowflake.
• Act as the primary data engineering partner for Finance BI Developers and stakeholders.
• Drive data engineering best practices, governance, testing, monitoring, and documentation.
• Balance business requirements with technical feasibility and set priorities.
• Design dimensional models and reusable datasets for reporting and self-service analytics.
• Improve data quality, reliability, and performance across Finance data products.
• Collaborate with engineering teams to align solutions with Autodesk standards.
• Maintain up-to-date knowledge of modern data engineering tools and practices.

Skills

SQL

Data Modeling

Data Warehousing

ETL/ELT pipelines

Governance & Data Quality

Stakeholder collaboration

Leadership & delivery focus

Education

Bachelor’s degree in Computer Science or Computer Engineering

Master’s degree desirable

Tools

Snowflake

Job description

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.

Responsibilities

• 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.

Minimum Qualifications

• 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.
• 8+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering roles.
• 8+ 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 leading projects to implement 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.

Preferred Qualifications

• Experience supporting Finance, Sales Finance, Revenue Operations, or FP&A organizations within a subscription-based software or SaaS business.
• Significant Technical Lead experience.
• Working knowledge of BI and analytics platforms such as Power BI, Tableau, Qlik Sense, or similar technologies.
• Demonstrated experience in generative AI technologies, with hands-on experience 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.

Salary

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.

• annual cash bonuses
• commissions for sales roles
• stock grants
• a comprehensive benefits package

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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 our 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.

Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging