Sr Principal Data Engineer

Autodesk

8d

About The Position

Senior Principal Data Engineer Position Overview At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You’ll lead the delivery of advanced data platform services, data architecture and data products through various data initiatives, working with a globally distributed, talented team to transform Autodesk’s business processes. As we collaborate across departments, you’ll partner closely with Product Managers in data and other GTM function domains to identify high impact use cases, build scalable data platform services, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk’s approach for data-driven decision-making processes. What We’re Looking For: Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data. Data platform, ETL tools, AI and ML tools and strategy etc. Leadership and Collaboration: Proven ability to lead global teams and work effectively across diverse groups. Passion for Innovation: A creative professional with a passion for transforming data into actionable business insights. At Autodesk, we empower you to shape the future and Make Anything possible. If you're driven by the power of data and excited to lead transformative initiatives, we invite you to join our team.

Requirements

• BS or higher in computer science or related technical discipline.
• 10+ years of hands-on software and data engineering development experiences in enterprise applications and systems.
• Excellent problem-solving and troubleshooting skills and make sound architectural decisions.
• Broader knowledge in software architecture concepts
• Deep knowledge and experience with data architecture and data platform designs
• Deep knowledge and experience in data modeling, entity relationship and query analysis optimization.
• Deep expertise in Python, Snowflake, SQL and DBT. Real hands-on project experience with these skills is a must.
• Expert in using AWS. Real hands-on project experience with these skills is a must.
• Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution.
• Experiences designing and building data science and ML models for generating business insights from enterprise system data.
• Demonstration of strong sense of ownership and competence in driving broad consensus and alignment across teams and GEOs.
• Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly.
• Fast learner and excellent team player, experienced in work with different disciplines, domains problems and teams.
• Excellent interpersonal, communication and presentation skills both verbally and written.
• Rich experience in mentoring and coaching other developers is a must.
• Deep knowledge and experience of working in Agile process is needed.
• Embrace changes and can work under pressure.
• Willing to take challenges and stretch comfortable zone with growth mindset.

Nice To Haves

• Rich hands-on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations is a plus.
• Rich domains knowledge in GTM business models and process is a plus.
• Rich domains knowledge on data architecture and data model is preferred.
• Experience building and delivering Gen AI capabilities or solution is a strong plus.
• Deep knowledge and experience in data science and machine learning are preferred.

Responsibilities

• Work with multiple scrum teams (each has 7-9 engineers), and act as a force multiplier by coaching, mentoring, and developing high-performing data engineering teams and individuals.
• Establish and uphold high standards for code quality, readability, and maintainability across multiple engineering teams.
• Quickly and confidently navigate large, unfamiliar codebases, making sound technical decisions in ambiguous or evolving environments.
• Own and drive the data engineering approach to data quality, including framework design, enforcement, and ongoing improvement.
• Lead engineering teams through complex production incidents and outages, driving effective triage, root cause analysis, and durable remediation.
• Guide teams toward mature, high-performing DataOps practices that improve reliability, observability, and delivery velocity.
• Apply deep expertise in SQL best practices, with an emphasis on performance optimization, readability, and long-term maintainability.
• Demonstrate strong understanding of conceptual, logical, and physical data modeling, and apply these principles effectively at enterprise scale.
• Solve complex, enterprise-scale data engineering challenges across GTM systems, balancing technical rigor with business impact.
• Define, standardize, and enforce testing frameworks and quality gates for data engineering workloads.
• Serve as a technical decision-maker for best practices, resolving tradeoffs and driving alignment across teams when standards or approaches are unclear.
• Business domain experience in subscription and consumption business models.
• Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions.
• Constantly communicating updates to stakeholders and other partners with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc.

Benefits

• From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.
• Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees