{"id":2641548,"url":"https://alion.io/job/vwfs-salesforce-data-cloud-developer","title":"Salesforce Data Cloud Developer","company":{"id":4374806,"name":"VWFS","domain":"vwfs.pt","url":"https://alion.io/company/vwfs-pt","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"Agile","optional":false},{"name":"MuleSoft","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"Apex","optional":true}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-15T00:00:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Sobre a vaga\nThe 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.\n\nO que vais fazer\n\nWork with business stakeholders to understand use cases and data requirements\nIdentify opportunities for customer insights, AI, analytics and automation\nTranslate business requirements into Data Cloud solutions\nDesign, configure, and maintain Salesforce Data 360 solutions\nBuild and manage Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Calculated Insights\nConfigure and optimize Identity Resolution and Unified Customer Profiles\nDevelop customer segmentation, audience management, and activation strategies\nImplement customer data harmonization and Customer 360 solutions across Salesforce Clouds\nSupport data governance, data quality, and profile enrichment initiatives\nContribute to the implementation of Agentforce-powered solutions and AI-driven workflows\nSupport the design and delivery of Einstein AI and Generative AI use cases\nPrepare and structure customer data to support intelligent automation and predictive capabilities\nCollaborate with architects and product teams to enable AI-ready data foundations\nSupport AI observability, performance tracking, and governance initiatives\nDesign and implement integrations between Salesforce Data 360, Salesforce Clouds, enterprise platforms, and third-party systems\nConfigure data ingestion using APIs, databases, middleware platforms, and external data providers\nDevelop and maintain scalable data pipelines and synchronization processes\nSupport event-driven, API-based, and zero-copy integration patterns where appropriate\nAnalyze, troubleshoot, and optimize integration performance and reliability\nCreate and maintain technical documentation, solution designs, and data flow diagrams\nProduce integration specifications and implementation guides\nEnsure compliance with security, privacy, and governance standards\nContribute to development standards, coding practices, and reusable assets\nContribute to accelerators, reusable components, and Salesforce best practices\nStay current with Salesforce Data 360, Agentforce, Einstein AI, and platform innovations\nPromote continuous improvement and knowledge sharing within the Salesforce community\nSupport mentoring and onboarding of junior team members\n\nO que é pedido\n\nExperience in Salesforce Data 360, including data ingestion, data modeling, identity resolution, segmentation, and activation\nExperience working with APIs, integrations, and data architecture concepts\nExperience working in Agile delivery teams\nHands-on experience with Agentforce, Einstein AI, or other Salesforce AI capabilities\nExperience with MuleSoft or enterprise integration platforms\nExperience with customer data platforms (CDPs)\n\nO que é oferecido\n\nLong-term contract\nCompetitive package including private health insurance, life insurance and meal allowance (pay by meal card)\nBonuses and benefits depending on performance\nSchooling allowance and pension scheme\nIncredible and unique annual company events\nOpportunity to work on an international project and be part of multicultural and multidisciplinary team\nSolid performance evaluation and career management methodologies\nContinuous training – technical and behavioural development\n\nResumo organizado por IA a partir do anúncio original. 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