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Autodesk brand and broad data-platform skillset increase competition, but senior 10+ years requirement moderates density.
Requires deep data-platform and backend expertise, making industry background and platform experience highly relevant.
Explicit 10+ years, principal-level leadership, and specific data-platform technology requirements make shortlisting highly strict.
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Lead architecture and implementation of scalable enterprise data platforms, pipelines, and data products including batch, real-time, and event-driven processing systems.
Own data modeling, lakehouse design, data contracts, schema evolution, quality, governance, and build backend services/APIs exposing trusted data.
Drive technical roadmap, platform modernization, mentoring, and cross-team partnerships to enable AI-driven personalization, experimentation, and customer intelligence at global scale.
10+ years hands-on engineering experience in data engineering, data platforms, or distributed data systems.
3+ years in technical leadership roles such as Principal Engineer, Staff Engineer, Architect, or Tech Lead.
Proven experience designing and operating large-scale data platforms using SQL, Python, cloud data architecture, and technologies like Snowflake, Databricks, Spark, Kafka, Airflow.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Experienced in both data platform engineering and backend service/API design for data accessibility and integration.
Strong strategic thinker able to balance scalability, reliability, delivery speed, and cost in architecture decisions.
Proven mentor and technical leader adept at shaping long-term technical vision and driving execution across multiple teams.