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Capgemini

Global consulting, technology services, outsourcing

Salesforce Marketing Cloud Next and Data Developer

Enterprise ApplicationsUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • Practical experience configuring or developing Salesforce Data 360, Salesforce Data Cloud, Marketing Cloud Next, Marketing Cloud Growth, Marketing Cloud Advanced, or comparable customer data and marketing automation platforms.
  • At least 3 years of understanding of customer data concepts, including data ingestion, data streams, Data Lake Objects, Data Model Objects, identity resolution, unified profiles, segmentation, and activation.
  • At least 3 years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions, and data management features.
  • Understanding of customer engagement and marketing automation concepts, including audiences, campaigns, journeys, event triggers, personalisation, consent, and preference management.
  • Experience writing and troubleshooting SQL queries and working with structured data formats such as CSV, JSON, and XML.
  • Experience integrating systems using REST APIs, SOAP APIs, file-based interfaces, middleware solutions, connectors, or event-driven approaches.
  • Understanding of software development lifecycle practices, including requirements gathering, user stories, source control, testing, deployment, and defect management.
  • Experience using source control tools and working within structured release management and deployment processes.
  • Understanding of secure development practices, data privacy, customer consent, governance, and responsible customer communications.
  • Ability to obtain Security Check clearance; successful applicants must have resided continuously within the United Kingdom for the last 5 years.
  • Some posts may require sole UK nationality.

Responsibilities

  • Configure and develop Salesforce Marketing Cloud Next and Salesforce Data 360 solutions in line with approved architecture, delivery standards, and user stories.
  • Create and maintain Data Lake Objects, Data Model Objects, data streams, mappings, transformation logic, and customer data models.
  • Support implementation and testing of identity resolution rulesets, unified customer profiles, calculated insights, segments, and activation targets.
  • Build and maintain Marketing Cloud Next audiences, campaigns, flows, event triggers, personalisation rules, and reusable orchestration components.
  • Configure customer engagement journeys that use trusted customer data to deliver relevant and personalised customer experiences.
  • Develop integrations using Salesforce APIs, Data Cloud connectors, Salesforce Flow, middleware platforms, and event-driven integration patterns.
  • Support migration and transformation of legacy marketing automation capabilities into Marketing Cloud Next and Data 360.
  • Assist with migration of automations, journeys, subscriber data, campaign logic, content, and preference structures from legacy marketing platforms.
  • Implement consent management, preference management, suppression, retention, and communication governance requirements in accordance with agreed solution designs.
  • Create and maintain SQL queries, transformation logic, API payloads, technical documentation, mapping specifications, and deployment documentation.
  • Work with architects and senior developers to ensure solutions align with approved designs, security requirements, and technical standards.
  • Support release planning, deployment activities, environment management, and post-release validation activities.
  • Follow source control, deployment, continuous integration, and release management processes to support high-quality solution delivery.
  • Collaborate with security, governance, and architecture teams to ensure solutions follow secure-by-design principles and enterprise standards.
  • Identify technical risks, dependencies, and implementation challenges, escalating issues when architectural guidance is required.
  • Support creation of technical documentation, support documentation, and operational handover materials.
  • Develop expertise across Salesforce Data 360, Marketing Cloud Next, Agentforce, and Salesforce AI capabilities while supporting enterprise-scale transformation programmes.

Desired Qualifications

  • Salesforce certifications such as Salesforce Data 360, Marketing Cloud, Marketing Cloud Next, Platform App Builder, Platform Developer, or Agentforce.
  • Experience with Salesforce Marketing Cloud Engagement capabilities, including Journey Builder, Automation Studio, Email Studio, Content Builder, AMPscript, SSJS, and subscriber management.
  • Experience with Apex, Lightning Web Components, Salesforce CLI, Git, DevOps tooling, automated testing frameworks, or CI/CD pipelines.
  • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS, or Google Cloud.
  • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing, and near real-time activation patterns.
  • Awareness of email deliverability, domain authentication, IP warming, communication governance, and customer preference management.
  • Exposure to Agentforce, Salesforce AI, prompt-enabled workflows, Tableau, Marketing Intelligence, personalisation capabilities, or analytics platforms.
  • Experience supporting B2B or B2C customer engagement solutions across sales, service, marketing, commerce, loyalty, or customer service channels.
  • Experience working within consulting, enterprise transformation, agile delivery, or multi-vendor environments.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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