Staff Software Engineer, Data Platform

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The MarTech and Machine Learning Engineering team is responsible for building Wayfair's class leading, data centric technology platform that optimizes and powers all of Wayfair's advertising. It touches hundreds of millions of consumers and drives billions of dollars in annual revenue. Our platforms allow us to scale our marketing efforts efficiently by automating key processes, interacting with ad vendors in real time and leveraging hundreds of terabytes of data and ML algorithms for optimization and effective decision making on millions of items in our catalog. The types of systems built by this team range from low latency REST and Graph QL APIs, to streaming systems processing billions of daily events in real time to large scale batch systems.

Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 14 million items across home furnishings, décor, home improvement, housewares, and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery.

The Scribe platform is composed of platforms aimed at empowering every Wayfair team with high-quality data. It accomplishes this through ingesting, organizing, and activating data in a scalable fashion. The platform was born out of an original mission to produce insights that would power a single view of the customer for far-reaching purposes from personalization to predicting behaviors to analytics. Today, those same tools have grown to ingest any type of data (product, customer, order, etc.) in real-time, support any type of prediction (e.g. shipping times, best email send time, class affinity), and activate that data in all the ways teams desire to consume it.

What You Will Do

• Provide technical leadership for a team of 20+ software engineers and help shape the future roadmap for software platforms
• Architect and implement robust, well-tested services. Provide technical design and code reviews for peers within your team and across the broader org.
• Provide insights into opportunity areas for the platform, influencing priorities and team roadmaps in close partnership with Engineering and Product leadership.
• Identify and implement new tools, technologies, and processes to accelerate developer velocity within our teams.
• Promote a culture of engineering excellence, up-leveling the technical expertise of engineers
• Contribute to the technical development of engineers by mentoring and coaching them through learning opportunities.

What You’ll Need

• Broad experience architecting and implementing robust, scalable, distributed web applications and event-based systems (10+ years or equivalent track record).
• Track record of bringing new technical innovations to production environments
• Track record of being a hands-on developer efficiently building technically sound systems.
• Superior organizational and analytical skills with hypothesis-driven problem solving and turning data into actionable insights
• Excellent communication skills with demonstrated experience driving teams forward and ability to influence decisions
• Experience with public cloud reference architectures and services, such as Google Cloud Platform or AWS 
• Experience with Kubernetes containerization, Java, Spark, and microservices preferred 
• Extensive experience with Streaming technologies, Messaging frameworks (RabbitMQ, Kafka), and Hadoop preferred.