Data Engineer, Daydream

• Seasoned Data Engineer: You have a deep understanding of data engineering principles and practices, with at least 8 years of relevant experience, including leadership roles
• Technical Expert: Proficient in modern data engineering technologies and architectures, with the ability to design and implement systems at scale
• Production Pipeline Owner: Experienced in supporting production data pipelines and managing outage protocols to ensure minimal downtime and robust recovery strategies
• Strategic Thinker: Capable of setting technical and business goals and leading projects to successful completion
• Collaborative Team Player: Excellent at working across teams and communicating complex ideas clearly and effectively
• Innovator: You thrive on challenges and are driven to apply state-of-the-art data engineering solutions to real-world problems

Desirable

• As a Staff Data Engineer at Daydream, you will lead our data engineering discipline, driving the development of scalable and robust data systems
• This senior role is critical for advancing our data infrastructure to support our AI-driven solutions that significantly enhance the shopping experience for millions of users globally
• You will be responsible for shaping the strategic direction of our data systems, ensuring they are innovative, scalable, and aligned with our core values of responsible data usage
• Additionally, you will lead and mentor a team of data engineers, fostering a culture of continuous learning and improvement
• Lead Data Engineering Efforts: Architect and lead the development of sophisticated data systems and pipelines that ensure the seamless flow of data across our platforms
• Scalability and Reliability: Ensure these data systems are scalable, reliable, and maintainable, supporting our growing user base and expanding product offerings
• Strategic Data Management: Develop and implement data management strategies that align with Daydream’s business objectives and support our AI and machine learning initiatives
• Cross-Functional Collaboration: Work closely with an interdisciplinary team of engineers, data scientists, product managers, and designers to create seamless data-driven features
• Innovation and Best Practices: Promote a culture of innovation and best practices in data engineering, mentoring team members and fostering an environment where diverse ideas are celebrated and operational excellence is achieved