Data Engineer

About the role

David Yurman is a celebrated American jewelry company founded in New York by David Yurman, a sculptor, and his wife, Sybil, a painter and ceramicist. When the artists began collaborating, their goal was simply to make beautiful objects to wear. Led today by their son Evan, David Yurman creates timeless, yet contemporary collections for women and men defined by inspiration, innovation, consummate craftsmanship and cable - the brand's artistic signature. David Yurman collections are available at retail stores throughout the United States, Canada, Hong Kong and France and at locations worldwide, through their exclusive authorized fine jewelry and timepiece network of retailers. Our Values At David Yurman, creativity, innovation and impeccable craftsmanship are at the core of everything we do. Fueled by the energy of our hometown, New York City, artistic passion informs each and every jewelry design. The Yurman family's guiding vision continually defines and redefines what it means to be the preeminent American luxury jewelry brand. We are committed to responsible business and social practices and to the protection and advancement of human rights. We believe in partnering with others who share these values and understand their importance. Job Description Position Overview The Data Management & Engineering (DME) team at David Yurman (DY) is responsible to design & implement state of the art data & analytics solutions. We are looking for a dynamic Data Engineer to design and build data integration solutions to support DY's modernization efforts. This is a hybrid position with location in New York. The DME team is in a formation state, and this is an exciting time to join and grow with an organization which is rapidly growing for the past 3 years. What You'll Build Understand business needs and develop multiple solutions to meet the needs Serverless data pipelines using AWS Services to move and transform data at scale Event-driven architectures for decoupled, reliable data flows Real-time integrations between systems and databases through standardized enterprise integrations frameworks Self-service analytics solutions that empower business users to access data across multiple source systems CI/CD pipelines using Terraform and GitHub Actions to deploy infrastructure across multiple environments