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

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) with
• each 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 & DevOps:

• 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 orchestrations using AWS technologies such as AWS Lambda, Step Function, Fargate, Glue etc.
• 5+ years’ experience with Snowflake a must have
• 3+ years’ experience with programming languages – SQL, Python
• Familiarity with retail as a business a nice to have
• Familiarity with Oracle Integration Cloud (OIC) or other integration platform a plus.
• Familiarity with reporting tools such as Sigma a huge plus.
• Familiarity with Salesforce ecosystem preferred (SFCC, SFSC, SFMC)
• Strong written and verbal communication skills

Education

• Master’s degree in computer science or bachelor’s degree with equivalent work experience
• Snowflake / salesforce certifications desirable

Location: Tribeca, NYC (Hybrid Monday-Friday)

Estimated Base Salary: $140,000-150,000

Base pay is one component of David Yurman’s total compensation package, which may also include the following for eligible employees: access to healthcare benefits, 401(k) plan, bonus, employee discounts, Summer Fridays (corporate roles), generous paid time off, sick time, and mor