Job Requisition ID #

24WD81651

Position Overview

At Autodesk, the Enterprise Data Engineering team plays a pivotal role in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Software Engineer with deep technical expertise and business domain knowledge in sales, finance, and customer master data domains.

In this role, you will report to the Sr. Manager of Data Engineering in our Enterprise Systems & Experience (ESE) IT organization. You'll lead the delivery of advanced 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 the Data Product & Insight domain to identify high-impact use cases, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk's approach to sales.

• Technical and Business Expertise: Extensive experience in sales, finance, and customer data.
• Leadership and Collaboration: Proven ability to work with global teams and work effectively across diverse groups.
• Passion for Innovation: A creative professional with a passion for transforming data into actionable business insights.

• Work with multiple scrum teams (each consisting of 7-9 engineers)
• Collaborate with scrum teams in the US, India, and Singapore, where engineering teams are located
• Lead and guide the entire complex project development cycle and accomplish the goals
• Participate in product discovery along with Product Managers, Analysts, Users, and Architects
• Lead solution design, readouts, and oversee the delivery of end-to-end solution implementations
• Take end-to-end ownership of ETL data pipelines, from data ingestion to consumption by business intelligence and advanced analytics teams
• Identify opportunities for improving operational efficiency and increasing business revenue
• Lead the design, build, test, and release of data science models to generate insights from enterprise system data
• Work closely with different stakeholders: business owners, users, product managers, program managers, architects, engineering managers, developers, etc, to translate business needs and product requirements into well-documented engineering solutions
• Provide constant communication updates to stakeholders at different stages (requirements clarification, solution/planning reviews, status/progress sharing, etc)
• Ensure data quality and consistency across various sources
• Design and contribute to best practices in Enterprise Data Warehouse (EDW) architecture
• Lead the design, implementation, testing, and delivery of data engineering products/components/services strategically
• Serve as a go-to person for technical solutions across multiple teams and projects, helping to overcome challenges, predict risks, and create mitigation plans (e.g., driving systematic solutions for both short-term and long-term, building a roadmap for technical solutions)
• Discover, define, and guide the implementation of long-term technical strategies for data engineering tools, practices, and processes that benefit the team's growth and delivery of high-quality data products
• Serve as a role model for mentoring and coaching other engineers, applying best practices, and promoting achievements to external teams

• BS or higher in computer science or related technical discipline
• 12+ 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, DBT. PySpark will be a very good to have skill. Real hands-on project experience with these skills is a must
• Expert in using AWS and Data products. Also, expert in Snowflake, Airflow, DBT. Real hands-on project experience with these skills is a must
• 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