Salesforce Data Cloud Engineer - Unified Customer Profiles

Sogeti; Dublin; On-site; EUR 70,000 - 110,000; Full time

Job summary

Sogeti in Ireland seeks a Salesforce Data Cloud Developer to design, develop, and support customer data solutions within Salesforce Data Cloud. You will build data ingestion pipelines, identity resolution, and activation workflows to enable a unified customer view across sales, marketing, service and digital channels.

You will collaborate with architects, business analysts, and product teams to translate requirements into scalable data cloud solutions, while ensuring data governance and quality.

Qualifications

• Hands-on experience with Salesforce Data Cloud including ingestion, identity resolution, unified profiles, and activation.

Responsibilities

• Design, configure, and maintain Salesforce Data Cloud data models, data streams, identity resolution, unified profiles, and data assets.
• Develop and support integrations between Salesforce Data Cloud and enterprise platforms including Salesforce CRM, Marketing Cloud, SAP, Azure Data Lake, Databricks, and third-party applications.
• Build and manage audience segmentation, calculated insights, data transformations, and activation workflows for marketing, sales, and customer experience use cases.
• Implement data quality, data governance, consent management, and customer data management processes for trusted information.

Skills

Salesforce Data Cloud (Data 360/CDP)

APIs & ETL/ELT

Data governance & quality

Agile delivery

Customer data management

Tools

Azure Data Lake

Databricks

Data Factory

SQL

Job description

Sogeti in Ireland seeks a Salesforce Data Cloud Developer to design, develop, and support customer data solutions within Salesforce Data Cloud. You will build data ingestion pipelines, identity resolution, and activation workflows to enable a unified customer view across sales, marketing, service and digital channels.

You will collaborate with architects, business analysts, and product teams to translate requirements into scalable data cloud solutions, while ensuring data governance and quality.