This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Salesforce Data Cloud Developer based in Brazil.
This is a senior technical role focused on designing and delivering scalable data solutions within the Salesforce ecosystem. You will lead the implementation and evolution of Salesforce Data Cloud across strategic digital transformation initiatives. The role combines data modeling, integration, governance, analytics, and AI enablement to turn complex data into actionable business value. You will collaborate closely with architects, data engineers, CRM teams, and business stakeholders in multidisciplinary environments. You will also contribute to advanced use cases involving personalization, intelligent agents, and generative AI. This is an opportunity to become a technical reference while helping shape modern, secure, and data-driven customer experiences.
Accountabilities:
- Design, implement, and continuously evolve scalable solutions using Salesforce Data Cloud.
- Define data modeling, ingestion, unification, identity resolution, and relationship strategies across multiple data sources.
- Configure and manage Data Streams, Data Model Objects (DMOs), Identity Resolution, Unified Individual, Calculated Insights, and audience segmentation.
- Ensure data quality, governance, security, privacy, and traceability throughout the data lifecycle.
- Integrate Data Cloud with Salesforce products, enterprise systems, APIs, and external platforms using appropriate ETL/ELT approaches.
- Enable audience activation, personalized journeys, analytics, and other data-driven business use cases.
- Build and support integrations between Data Cloud and AI solutions for personalization, recommendations, generative AI, and intelligent-agent use cases.
- Partner with architects, data engineers, CRM teams, and business stakeholders to define and evolve technical solutions.
- Monitor implementation performance, data volumes, costs, and operational efficiency, identifying opportunities for optimization.
- Act as a technical reference for the team, promoting best practices, knowledge sharing, and continuous improvement.
Requirements:
- Solid professional experience working with Salesforce Data Cloud and its core capabilities.
- Strong knowledge of Data Streams, Data Model Objects (DMOs), Identity Resolution, Unified Individual, Calculated Insights, and audience segmentation.
- Experience with data modeling, data architecture, and integration across multiple platforms.
- Proficiency in SQL for data analysis, transformation, and validation.
- Hands-on experience with APIs, ETL/ELT processes, and enterprise system integrations.
- Strong understanding of the Salesforce ecosystem and integrations between Data Cloud and other Salesforce Clouds.
- Experience with data governance, quality, security, privacy, and lifecycle management.
- Knowledge of semantic-layer modeling to support analytics and AI applications.
- Experience configuring indexes, context-retrieval strategies, and data foundations for generative AI applications.
- Understanding of distributed data architectures, including Bring Your Own Data Lake (BYODL) scenarios.
- Ability to act as a technical leader and collaborate effectively with multidisciplinary teams.
- Familiarity with Agentforce, Tableau Next, and other Salesforce AI solutions is a strong advantage.
- Knowledge of RAG (Retrieval-Augmented Generation), grounding, data lakes, analytical platforms, and modern cloud environments is desirable.
- Experience in financial-services projects, event-driven architectures, microservices, or modern data platforms is a plus.
- Salesforce Data Cloud or other relevant Salesforce certifications are advantageous.
- Location requirement: Candidates residing in the Campinas Metropolitan Region are expected to work from the local offices according to the applicable office attendance policy.
Benefits:
- Health and dental insurance.
- Meal and food allowance.
- Childcare assistance.
- Extended parental leave.
- Access to fitness, wellness, and healthcare professionals through Wellhub/Gympass and TotalPass partnerships.
- Profit-sharing program (PLR).
- Life insurance.
- Continuous learning opportunities through an internal learning platform.
- Partnerships with online learning and professional development platforms.
- Language-learning platform.
- Discount club and partner benefits.
- Online resources dedicated to physical health, mental health, and overall well-being.
- Pregnancy and responsible-parenthood courses.
- Dedicated health and well-being support, inclusion specialists, and employee affinity groups.
- A collaborative, technology-driven environment focused on innovation, continuous development, and knowledge sharing.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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