Regional Salesforce Data Cloud Architect – CoE Lead

Great Eastern; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Great Eastern is seeking a Data Cloud Architect to shape scalable Salesforce Data Cloud designs across markets. This hands-on role turns complex customer data and business requirements into robust, reusable designs that integrate with the broader enterprise data environment.

Design data models, identity resolution, segmentation and activation patterns while collaborating with Group IT and Data & AI to align with enterprise standards and cost considerations.

Qualifications

• 8+ years of experience with customer data platforms and CRM.
• Hands-on Salesforce Data Cloud implementation in enterprise environments.
• Knowledge of data modelling, identity resolution and profiling.
• Experience translating complex requirements into practical platform designs.

Responsibilities

• Design and maintain Salesforce Data Cloud data model with objects, relationships and mappings.
• Design and optimise identity resolution, including rules and unified profiles.
• Develop reusable segmentation and audience frameworks for personalised use cases.
• Design integration patterns to connect Data Cloud with Marketing Cloud and other destinations.
• Apply data cleaning and standardisation to improve data quality and usability.
• Define end-to-end Data Cloud use cases from ingestion to activation with oversight.
• Embed consent, suppression, eligibility, security and access requirements into designs.

Skills

Salesforce Data Cloud

Data Modelling

Identity Resolution

Audience Segmentation

Education

Bachelor's degree in a relevant discipline

Salesforce Data Cloud certification

Job description

Great Eastern is seeking a Data Cloud Architect to shape scalable Salesforce Data Cloud designs across markets. This hands-on role turns complex customer data and business requirements into robust, reusable designs that integrate with the broader enterprise data environment.

Design data models, identity resolution, segmentation and activation patterns while collaborating with Group IT and Data & AI to align with enterprise standards and cost considerations.