Data Engineer

About UsDavid 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 systemsCI/CD pipelines using Terraform and Git Hub Actions to deploy infrastructure across multiple environments

Responsibilities

Pipeline Engineering:

Design and build production-grade data pipelines using AWS serverless technologies with proper error handling, retry logic, and observability

Implement data warehousing patterns for historical tracking and compliance requirements

Build incremental data processing workflows with change data capture (CDC) and idempotent designs

Create multi-stage orchestration workflows with parallel execution capabilities

Develop appropriate test scripts and test the code before promoting to production.

Integration Development:

Connect multiple enterprise systems (ERP, CRM, e-commerce platforms, 3rd-party APIs) witheach other and to cloud data warehouse

Build event-driven data flows using AWS messaging and streaming services

Design RESTful APIs for real-time data access with proper authentication and authorization

Develop integrations across retail, supply chain, and financial systems

Infrastructure & Dev Ops:

Write Infrastructure as Code using Terraform to manage all cloud resources

Build multi-environment deployment pipelines with automated testing and validation

Implement monitoring and alerting for pipeline health, data quality, and SLA compliance

Optimize cloud costs through serverless architecture patterns and right-sizing

Define security guardrails within data integrations

Qualifications

Minimum 5-7 years of experience in designing, building, and supporting data integrations and pipeline…