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.

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.

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/

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonSnowflakeDBTdata modelingdata architecturedata platform designproblem-solvingtroubleshootingAgile

Soft Skills

coachingmentoringcommunicationpresentationteam playerownershipconsensus buildingadaptabilityleadershipfast learner

Certifications

BS in computer sciencehigher degree in technical discipline