Lead Data Engineer at Autodesk
Autodesk
Drive AI-ready data solutions at Autodesk as a Principal Data Engineer. Specialize in building pipelines for analytics and LLMs to enhance user insights and business impact.
In this critical data engineering role reporting to the Director of Growth and Data Science, you will be instrumental in shaping the architecture for scalable data products. With responsibilities spanning across data quality, governance, and operationalizing machine learning, your expertise will guide strategic decisions. Collaborate with cross-functional teams to structure and model datasets that empower analytics and AI capabilities.
Key Responsibilities: • Architect scalable batch and streaming data pipelines • Partner with AI/ML teams for feature engineering • Ensure data quality for AI-driven systems • Guide build vs. buy decisions for data tools • Collaborate with stakeholders to convert product questions into data signals
Requirements: • 10+ years in data engineering with production systems • Hands-on experience with Python, Spark, and SQL • Familiarity with LLM and streaming technologies • Experience with data governance and cataloging • Strong communication skills for technical audiences
Lead data innovation at Autodesk, blending technical expertise with cross-team collaboration. #J-18808-Ljbffr
In this critical data engineering role reporting to the Director of Growth and Data Science, you will be instrumental in shaping the architecture for scalable data products. With responsibilities spanning across data quality, governance, and operationalizing machine learning, your expertise will guide strategic decisions. Collaborate with cross-functional teams to structure and model datasets that empower analytics and AI capabilities.
Key Responsibilities: • Architect scalable batch and streaming data pipelines • Partner with AI/ML teams for feature engineering • Ensure data quality for AI-driven systems • Guide build vs. buy decisions for data tools • Collaborate with stakeholders to convert product questions into data signals
Requirements: • 10+ years in data engineering with production systems • Hands-on experience with Python, Spark, and SQL • Familiarity with LLM and streaming technologies • Experience with data governance and cataloging • Strong communication skills for technical audiences
Lead data innovation at Autodesk, blending technical expertise with cross-team collaboration. #J-18808-Ljbffr
Reference: WJ-3875_13223334