Salesforce Data Cloud Architect

Job Title / Role: Salesforce Data Cloud ArchitectKey Skills: Salesforce Data Cloud, Cloud data platforms and Salesforce Data Models.Experience: 15+Location: San Deigo CAShift: GeneralMode: RemoteWe at Coforge are seeking “Salesforce Data Cloud Architect” with the following skill set:Role SummaryThe Data Architect will serve as the on-site data and identity authority for Salesforce Data Cloud implementation, owning end-to-end data architecture across data ingestion, data modeling, semantic layer, identity resolution, privacy/consent enforcement, and downstream activation readiness.This role is critical to ensuring that the Data Cloud foundation is laid out while aligning with Client’s governance, MLR, and privacy guardrails.Key Responsibilities1. Data Architecture & Foundation OwnershipOwn the overall Data Cloud architecture design across source ingestion, DMOs, relationships, semantic layer, and activation readiness.Translate business and clinical requirements into scalable, compliant Data Cloud data models.Define and govern standard vs. custom DMOs, relationships, and extensibility patterns.Ensure environment parity across DEV / QA / PROD and alignment with CI/CD guardrails.2. Source System Strategy & Ingestion DesignLead enterprise data source inventory, including profiling, normalization strategy, and data contract definitions.Design ingestion patterns from platforms such as Databricks and upstream clinical/operational systems.Define data quality benchmarks, monitoring strategy, and ingestion reliability controls.Ensure ingestion latency and freshness support downstream real-time and calculated insights.3. Identity Resolution & Clinical Data IntegrityArchitect and configure identity resolution strategies, including deterministic and probabilistic match rules.Partner closely with clinical and compliance stakeholders to validate identity merges and reconciliation rules.Lead identity match validation cycles and support clinical signoff processes.Define and govern “sendable profile” criteria supporting compliant activation.4. Privacy, Consent & Regulatory EnforcementWork with governance and compliance teams to classify PHI / PII data elements.Architect consent ingestion, interpretation, and enforcement rules within Data Cloud.Ensure retention policies, access controls, and consent logic are embedded into the data model.Support MLR and governance checkpoints by providing data lineage and traceability artifacts. 5. Semantic Layer & Activation ReadinessDesign and own the semantic layer, including canonical definitions, glossary, and dictionary publication.Ensure consistent semantics across Insights, Data Actions, triggers, and SFMC activations.Validate semantic consistency during SIT and E2E testing.Partner with SFMC and activation teams to ensure Data Actions and triggers are data-safe and deterministic. 6. Insights Architecture (Real-Time, Streaming, Calculated)Design data structures supporting real-time, streaming, and calculated insights.Ensure insight definitions align with trigger timing, frequency caps, and suppression rules.Support validation of insight accuracy, freshness, and performance prior to Go Live.7. Delivery Leadership & Onsite CollaborationAct as the primary onsite data authority for Client stakeholders (IT, clinical, compliance, marketing).Drive architectural decisions during sprint planning, design reviews, and milestone gates.Provide clear guidance to offshore data engineers and SFMC teams.Support SIT, UAT, Go Live readiness, and structured knowledge transfer to Client FTEs.Required Skills & ExperienceCore Experience10+ years in enterprise data architecture, with recent Salesforce Data Cloud experience.Proven experience delivering regulated healthcare/life sciences data platforms.Strong background in identity resolution, consent management, and PHI/PII handling.Hands-on experience with Salesforce Data Cloud DMOs, identity rules, insights, and Data Actions.Technical ExpertiseSalesforce Data Cloud (DMOs, Identity, Insights, Semantic Layer).Cloud data platforms (Databricks or equivalent).Streaming & real-time data concepts.Data quality, lineage, and observability.CI/CD and environment governance for data platforms.Soft Skills, Strong stakeholder communication skills for clinical, compliance, and business audiences.Ability to make architectural decisions under regulatory constraints.Experience leading distributed (onsite/offshore) delivery teams.Executive ready articulation of data risks, tradeoffs, and mitigation strategies.