Senior Engineer, Customer Data Platform

We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.       One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here .

SUMMARY:  We are seeking an experienced Salesforce Data Cloud Engineer to design, build, and optimize enterprise Customer Data Platform (CDP) capabilities that power unified customer profiles, AI-driven personalization, and intelligent customer engagement across PVH brands. This role will leverage Salesforce Data Cloud, Agentforce, Marketing Cloud Personalization, and Salesforce AI capabilities to deliver scalable, real-time customer experiences and automation across marketing, commerce, CRM, and customer service platforms. This is a global role and partners regionally (EMEA, North America and APAC) closely with Marketing CRM, Digital Commerce, Analytics, and Product Engineering teams to implement scalable customer data solutions using Salesforce Data Cloud (Data 360), enterprise data platforms, and cloud-native integration technologies. The ideal candidate combines expertise in Salesforce Data Cloud, customer identity resolution, data engineering, cloud integrations, and enterprise software engineering to deliver secure, scalable, and privacy-compliant customer data solutions.   PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:   Salesforce Data Cloud Engineering ·       Design, develop, and optimize Salesforce Data Cloud solutions including: o   Data Streams o   Data Model Objects (DMOs) o   Data Graphs o   Identity Resolution Rules o   Calculated Insights o   Segments o   Activation Targets ·       Build and maintain scalable Unified Customer Profiles supporting Customer 360 initiatives. ·       Configure deterministic and probabilistic identity resolution rules to improve customer matching accuracy. ·       Develop customer segments and activation strategies across Marketing Cloud, Service Cloud, Commerce Cloud, and advertising platforms. ·       Design event-driven customer data pipelines supporting personalization and omnichannel engagement. ·       Implement consent management and customer privacy controls aligned with GDPR, CCPA, and enterprise governance standards. Data Engineering & Integration ·       Design and implement scalable ETL/ELT pipelines integrating Salesforce Data Cloud with enterprise platforms. ·       Develop integrations using REST APIs, GraphQL, Mulesoft, Kafka/Kinesis, and cloud messaging services. ·       Collaborate with enterprise data engineering teams to integrate Data Cloud with Snowflake, Databricks, AWS, Azure, and other cloud data platforms. ·       Optimize ingestion performance, data quality, and pipeline reliability. ·       Build monitoring, alerting, lineage, and operational dashboards for Data Cloud pipelines. Software Engineering ·       Develop reusable services, APIs, and automation supporting enterprise customer data solutions. ·       Participate in architecture reviews, code reviews, and engineering best practices. ·       Troubleshoot complex production issues across distributed applications and data platforms. ·       Implement CI/CD pipelines using GitHub, Azure DevOps, Gearset, or similar DevOps platforms. ·       Create technical