Salesforce Data Cloud Architect

Title: Salesforce Data Cloud Architect Job Type: Contractual Location: Atlanta, GA. (3 Days Onsite)

• 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

OVERALL EXPERIENCE • 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.

PREFERRED SALESFORCE.COM CERTIFICATIONS • Salesforce Certified Data Cloud Consultant (must-have) • Salesforce Application/System Architect (must have one of the two)

Skills

• Salesforce Data Cloud, Agentforce, AI/ML Integrations