Specialist, CRM Data Engineer

Specialist, CRM Data Engineer 

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL. 

About the role:  

CHANEL is looking for a Specialist CRM Data Engineer to join our BI+CRM Team in New York City. This Data Engineer will design, build, and maintain robust data pipelines that power our Customer Relationship Management (CRM) ecosystem. Our ideal candidate will have retail and omni channel ecommerce experience and work closely with CRM, marketing, and analytics teams to ensure high-quality, timely data is available for campaign execution, personalization and reporting. This role bridges the gap between source systems (e.g. POS, ecommerce) and target systems (Salesforce, Marketing Cloud, BI Tools).  This Data Engineer role requires a minimum of 2+ years of technical data engineering using SQL, Python, BigQuery, GCP, Azure, Power BI, etc.  This role requires a passion for leveraging technical mastery and a mindset that’s both curious and creative to identify opportunities and address unique technical and business challenges in a collaborative, analytical, and fast-paced environment of the Luxury Retail industry. 

What impact you can create at CHANEL: 

• Technical Resource – Design, build and maintain scalable efficient data pipelines and ETL processes using GCP tools (BigQuery). Document technical solutions, data flows and schemas for cross-functional transparency and knowledge sharing 

• Expertise support- support the CDP with onboarding data quality, identity resolution and segmentation enablement. Troubleshoot data issues end-to-end, from source systems to target like data warehouses, BI tools, touchpoints, identifying and resolving data inconsistencies and failures 

• Data Governance – act in role of data custodian for the Client Data Domain, ensuring data accuracy, completeness and consistency 

• Study, understand, develop, and maintain the Data as a Service data pipelines and solutions – Collaborate with CRM architect and review documentation materials covering the existing data pipeline solutions and analytical data assets managed within the Data as a Service domain. Continue to understand, develop, expand, and maintain data assets and processes 

• Partner with Business Analysts, Dashboard Developers, Service Owners, and Providers – Work closely with internal business analysts, service owners, data providers, as well as onshore and offshore consultants to deliver accurate, scalable, and maintainable data solutions 

• Communication and Documentation – Communicate and interface effectively with the Data as a Service IT Manager, business analytics teams, and front-end dashboard developers, productively working with them throughout the project life cycles. Adhere to documentation requirements and change control best practices throughout development and production deployment phases 

• Teach – Serve as a model example of presenting concepts and use cases f