Salesforce Data Cloud Architect

Job Title / Role:

Salesforce Data Cloud Architect

Key Skills:

Salesforce Data Cloud, Cloud data platforms and Salesforce Data Models.

Experience:

15\+

Location:

San Deigo CA

Shift:

General

Mode:

Remote

We at Coforge are seeking “

Salesforce Data Cloud Architect

” with the following skill set:

Role Summary

• The 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 Responsibilities

1\. Data Architecture \& Foundation Ownership

• Own 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 Design

• Lead 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 Integrity

• Architect 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 Enforcement

• Work 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 Readiness

• Design 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 Collaboration

• Act 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 \& Experience

Core Experience

• 10\+ 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 Expertise

• Salesforce 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.