Salesforce Data Cloud Developer

The Salesforce Data 360 Developer is responsible for designing, implementing and optimising Salesforce Data 360 solutions that unify and activate enterprise data. The role enables customer insights, AI capabilities, segmentation and personalisation through a scalable data architecture. The role ensures that Data 360 capabilities are aligned to organisational strategy and business priorities.

• Work with business stakeholders to understand use cases and data requirements
• Identify opportunities for customer insights, AI, analytics and automation
• Translate business requirements into Data Cloud solutions
• Design, configure, and maintain Salesforce Data 360 solutions
• Build and manage Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Calculated Insights
• Configure and optimize Identity Resolution and Unified Customer Profiles
• Develop customer segmentation, audience management, and activation strategies
• Implement customer data harmonization and Customer 360 solutions across Salesforce Clouds
• Support data governance, data quality, and profile enrichment initiatives
• Contribute to the implementation of Agentforce-powered solutions and AI-driven workflows
• Support the design and delivery of Einstein AI and Generative AI use cases
• Prepare and structure customer data to support intelligent automation and predictive capabilities
• Collaborate with architects and product teams to enable AI-ready data foundations
• Support AI observability, performance tracking, and governance initiatives
• Design and implement integrations between Salesforce Data 360, Salesforce Clouds, enterprise platforms, and third-party systems
• Configure data ingestion using APIs, databases, middleware platforms, and external data providers
• Develop and maintain scalable data pipelines and synchronization processes
• Support event-driven, API-based, and zero-copy integration patterns where appropriate
• Analyze, troubleshoot, and optimize integration performance and reliability
• Create and maintain technical documentation, solution designs, and data flow diagrams
• Produce integration specifications and implementation guides
• Ensure compliance with security, privacy, and governance standards
• Contribute to development standards, coding practices, and reusable assets
• Contribute to accelerators, reusable components, and Salesforce best practices
• Stay current with Salesforce Data 360, Agentforce, Einstein AI, and platform innovations
• Promote continuous improvement and knowledge sharing within the Salesforce community
• Support mentoring and onboarding of junior team members

• Experience in Salesforce Data 360, including data ingestion, data modeling, identity resolution, segmentation, and activation
• Experience working with APIs, integrations, and data architecture concepts
• Experience working in Agile delivery teams
• Hands-on experience with Agentforce, Einstein AI, or other Salesforce AI capabilities
• Experience with MuleSoft or enterprise integration platforms
• Experience with customer data platforms (CDPs)

• Long-term contract
• Competitive package including private health insurance, life insurance and meal allowance (pay by meal card)
• Bonuses and benefits depending on performance
• Schooling allowance and pension scheme
• Incredible and unique annual company events
• Opportunity to work on an international project and be part of multicultural and multidisciplinary team
• Solid performance evaluation and career management methodologies
• Continuous training – technical and behavioural development

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.