Senior Data Engineer

Autodesk is hiring a Senior Data Engineer in Bengaluru.

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.

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

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

Preferred qualifications

• 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 define