Your role as a Senior Data Engineer entails a range of responsibilities, necessitating a balanced skillset:

• AI Data Engineering: Design, build, operate and deploy real-time data pipelines at scale using AI techniques and best practices. Support Turnitin's AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives.
• Collaboration: Work in tandem with the AI R&D teams and the Data Platform Team to collect, create, curate and maintain high-quality AI datasets. Ensure alignment of data architecture and data models across different products and platforms.
• Innovation: Unearth insights from Turnitin's rich data resources through innovative research and development.
• Hands-on Involvement: Engage in data engineering and data science tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state of the art prompt engineering techniques - to support the construction of state of the art AI models.
• Communication: Foster clear communication within the team and the organization, and ensure understanding of the company's vision and mission.
• Continuous Learning: Keep abreast of new tools and development strategies, bringing innovative recommendations to leadership.