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The architect will design and implement target architectures for Salesforce Data Cloud, including data ingestion, harmonization, and identity resolution. They will also lead technical governance, stakeholder management, and ensure compliance with global data privacy regulations.
This is a remote position.
Salesforce Marketing Cloud(Architect level) - MC Advanced Cross Channel,Salesforce Platform
Experience : 10+years
Contract role
Not Applicable for Lessthan 10yrs(need only Architect profiles)
Immediate Joiners
Remote
Key Responsibilities
1) Architecture Solution Design Define target architecture for Data Cloud: Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), Calculated Insights, Identity Resolution rules, and Data Spaces. Map source systems unified profile (Sales, Service, Commerce, Marketing, Web/App, POS, ERP, AdTech, offline).Establish golden record strategy (deterministic/probabilistic matching, survivorship rules).Design real-time and batch ingestion patterns, cataloging, and lineage.
2) Data Ingestion Harmonization Architect connectors (Sales/Service Cloud, Marketing Cloud, Commerce, MuleSoft, S3, Kafka/Event Bus, Snowflake/Databricks, REST).Define harmonization: schema mapping, unification, transformations, calculated insights/metrics, enrichment (e.g., geos, lifecycle, LTV, churn).Implement consent preference models aligned to GDPR, CCPA/CPRA, CANSPAM, CASL.
3) Identity Resolution Profile Unification Design identity graphs and identity rulesets (deterministic fuzzy/probabilistic as needed).Define survivorship logic (field-level precedence, recency, source trust scoring).Optimize profile stitching performance, data quality, and monitoring.
4) Segmentation, Activation PersonalizationArchitect audience segmentation (rule-based, AI-driven, calculated insights).Enable activation to downstream channels: Marketing Cloud/Journey Builder, Personalization (Interaction Studio), Sales/Service, Commerce, Ad platforms, Mobile, Web SDKs.Define real-time eventing patterns for triggers (web/app interactions, service events, lifecycle milestones).
5) Governance, Security Compliance Implement Data Spaces, data classification, PII handling, field-level security, and data minimization.Establish data retention, purging, obfuscation, and audit trails. Ensure compliance with privacy-by-design, consent propagation, and DSR (Data Subject Requests).
6) DevOps, Observability OperationsSet up CI/CD for Data Cloud metadata (where supported), configuration versioning, and environment strategy.Define monitoring, alerting, and SLAs for pipelines, match jobs, and activations.Create runbooks, backup/restore, and disaster recovery procedures.
7) Stakeholder Management Delivery Translate business goals into architectural blueprints and implementation roadmaps.Lead architecture reviews, estimation, and technical governance across squads.Partner with Marketing, CRM, Data/Analytics, Privacy/Legal, Security teams; mentor engineers.
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