Data Engineer

Position Overview

The Data Management & Engineering (DME) team at David Yurman (DY) is responsible for designing and implementing state‑of‑the‑art data and 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 located in New York with the DME team currently in the formation phase.

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 Git Hub Actions to deploy infrastructure across multiple environments

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 & 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.

• Minimum 5–7 years of experience designing, building, and supporting data integrations and pipeline orchestrations using AWS technologies such as Lambda, Step Functions, Fargate, Glue, etc.
• 5+ years’ experience with Snowflake is a must.
• 3+ years’ experience with programming languages – SQL, Python.
• Familiarity with retail as a business is a nice to have.
• Familiarity with Oracle Integration Cloud (OIC) or other integration platforms is a plus.
• Familiarity with reporting tools such as Sigma is a huge plus.
• Familiarity with Salesforce ecosystem is preferred (SFCC, SFSC, SFMC).
• Strong written and verbal communication skills.
• Master’s degree in computer science or bachelor’s degree with equivalent work experience.
• Snowflake / Salesforce certifications desirable.

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 healthcare benefits, 401(k) plan, bonus, employee discounts, Summer Fridays (corporate roles), generous paid time off, and sick time.

David Yurman is an Equal Employment Opportunity employer and provides equal opportunities to all employees and applicants without regard to age, race, creed, color, religion, national origin, sex (including pregnancy, sexual orientation, gender identity), etc. We are committed to fostering a culture of openness, creative collaboration, and diversity, equity, and inclusion.