Job Description: Staff Data Engineer
Location: Kirkland, or Remote
Summary: This role will lead our data engineering discipline, with a strong focus on owning and enhancing our catalog, data pipelines, and production systems.
About Daydream:
Daydream is pioneering the future of AI-driven e-commerce, harnessing state-of-the-art technology to craft personalized and immersive shopping experiences. Our mission is to innovate how people shop by making cutting-edge AI accessible and beneficial. We are a diverse team of thinkers and doers, driven by a passion for technology and its potential to change the world. Join us on this journey to transform online shopping through AI.
Role Overview:
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.
What You'll Do:
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.
Who You Are:
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.
Nice to Haves:
Published Research: You have contributed to the field with published research in areas relevant to data engineering, big data, or related fields.
Cloud Expertise: Experienced with cloud platforms and technologies such as GCP or Azure, particularly in deploying large-scale data solutions.
Ecommerce Experience: Familiarity with the ecommerce sector, understanding its unique data challenges and opportunities to drive innovation.
Data Privacy and Ethics: You have a background in data privacy and ethics, with experience implementing practices that ensure data security and ethical usage.
Advanced Data Handling: Proficiency in handling large-scale datasets, including experience with technologies.
Leadership Experience: Previous leadership roles where you have directly managed teams or led major projects within a technology-driven environment.
Industry Knowledge: Understanding of the retail industry’s challenges and opportunities, particularly how data can drive transformation.
Real-time Systems: Expertise in building and maintaining real-time, responsive data systems.
Contributions to Open Source: Active involvement in open source projects, especially those related to data engineering, demonstrating community engagement and ongoing learning.
Why Join Us:
At Daydream, you will work with a team that is as passionate about transforming e-commerce as they are about creating an inclusive workplace. We offer competitive compensation, comprehensive benefits, and opportunities for professional growth in a dynamic and supportive environment.
Diversity and Inclusion:
Daydream is committed to building a diverse team. We encourage candidates from all backgrounds to apply and are dedicated to promoting equality and inclusivity. We believe that diversity drives innovation and makes us a stronger, more successful company.
What We Offer:
Competitive salary, equity, and benefits package.
A role in a pioneering, AI-centric company.
Collaborative, fun, and dynamic work environment.
Opportunities for career growth and learning.
Join us at Daydream and be part of a team that is transforming shopping through cutting-edge AI and data engineering solutions.
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