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Mandatory Areas/ Must Have Skills • Skill 1 - Salesforce Data Cloud (3+ years hands-on): Data models, harmonization, identity resolution, calculated insights, DLOs, segmentation, DQL • Skill 2 - Data Cloud Architecture & Customer 360: CDP, unified data platforms, real-time personalization, predictive insights • Skill 3 - Agentforce + AI/ML Integrations: Einstein Studio, Model Builder, RAG retrievers, external LLM integrations • Skill 4 - Data Architecture & Governance: MDM, data security, compliance, data modeling, data lake/warehouse concepts • Skill 5 - Data Integrations: API-based integrations, ETL/ELT pipelines, MuleSoft, event-driven designs • Skill 6 - Cloud-native Platforms: AWS/Azure/GCP/Snowflake/Databricks familiarity and integration patterns • Skill 7 - Salesforce Technical Expertise: Apex/Visualforce/Lightning, Salesforce API frameworks, Marketing Cloud, MuleSoft, Tableau • Skill 8 - Enterprise Architecture Alignment: Ability to engage EA teams for Salesforce data models and scalable architecture decisions • Healthcare domain experience (Huge plus) • US client-facing experience and onsite-offshore coordination (Mandatory)
Must Have Certifications • Salesforce Certified Data Cloud Consultant (Mandatory) • Salesforce Application Architect or Salesforce System Architect (At least one mandatory) • 8-10+ years in Salesforce/enterprise data platforms, with 3+ years hands-on experience in Salesforce Data Cloud. • Deep understanding of Data Cloud architecture, objects, data models, data lake objects, harmonization, calculated insights, and identity resolution. • Expertise in Data Cloud Query Language (DQL) and advanced segmentation strategies. • Strong knowledge of data architecture, data governance, MDM, data lakes and data warehousing concepts. • Hands-on experience designing large-scale CDP and unified data platforms. • Familiarity and experience working with cloud-native architectures (AWS, Azure, GCP, Snowflake, Databricks). • Expertise in API-based integrations, ETL/ELT pipelines, and event-driven architectures. • Must have proven experience in architecting Agentforce solutions with AI/ML integrations with Data Cloud, including Einstein Studio and RAG-based retrievers. • Experience working with model builder and integrating external LLMs with Agentforce • Strong grounding in real-time personalization, predictive insights, and recommendation engines. Technical Expertise: o Proven track record in designing and implementing data architectures within the Salesforce ecosystem. o In-depth knowledge of Salesforce Data Cloud (Customer 360) and related technologies (MuleSoft, Marketing Cloud, Tableau, etc.). o Strong understanding of Salesforce architecture, including integration patterns, data modeling, and API frameworks. o Hands-on experience with Salesforce data tools like Salesforce Data Loader, Einstein Analytics, and other data management platforms. Data Management: o Expertise in data governance, data security, and regulatory compliance. o Strong experience with data integration, ETL (Extract, Transform, Load) processes, and middleware platforms like MuleSoft. • Experience in working with client in USA is a Must, and in coordinating between Onsite-Offshore daily • Healthcare domain experience is a huge plus. PREFERRED SALESFORCE.COM CERTIFICATIONS • Salesforce Certified Data Cloud Consultant (must-have) • Salesforce Application/System Architect (must have one of the two)
SALESFORCE SKILLSET & KNOWLEDGE • Very good experience in having architected and implemented Salesforce solutions, from a development perspective. Hand-holding Programming team in ensuring Apex/Visualforce/Lightning based solutions are implemented correctly and efficiently. • Must have Data Cloud Skills and Knowledge o Data Cloud Strategy & Architecture: Design the overall data architecture strategy for Salesforce Data Cloud, ensuring alignment with business objectives and Salesforce best practices. o Data Integration: Architect and implement integration solutions between Salesforce Data Cloud and other enterprise systems, ensuring data consistency and integrity across platforms. o Data Governance: Establish and enforce data governance practices, ensuring data accuracy, quality, security, and compliance with relevant regulations (e.g., GDPR, CCPA). o Data Modeling: Define data models and structures within Salesforce Data Cloud to support business processes and reporting requirements. Design scalable and maintainable data architectures. o Customer 360 Solutions: Lead the implementation of Salesforce Data Cloud to enable a single view of customers (Customer 360), ensuring optimal customer insights and analytics for personalized customer engagement. o Advanced Analytics & AI: Collaborate with teams to integrate AI-driven analytics and predictive models within Salesforce, leveraging data cloud insights to drive business outcomes. • Must be able to engage with Enterprise Architecture teams in discussing Salesforce Data Modeling • Strong Problem-solving skills, with ability to get multiple solutions for/approaches to solve a problem/scenario
Sprachkenntnisse
- English
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