{"id":4301559,"url":"https://alion.io/job/ltm-associate-principal-architecture-9","title":"Associate Principal - Architecture","company":{"id":9353,"name":"LTM","domain":"ltm.com","url":"https://alion.io/company/ltm","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":76,"open_postings":168,"ghost_share":0,"stale_share":0.958,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mississauga, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"MuleSoft","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"Apex","optional":true}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-15T04:14:51Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description Salesforce Data 360 Data Cloud Solution Architect\nRole Salesforce Data 360 Data Cloud Solution Architect\nExperience 10 years overall Salesforce enterprise data experience with strong handson Salesforce Data Cloud Data 360 architecture and implementation experience\nRole Summary\nWe are seeking an experienced Salesforce Data 360 Data Cloud Solution Architect to augment the enterprise platform team and provide architecture leadership for establishing and evolving the Data 360 foundation\nThe architect will work alongside the existing Salesforce Professional Services initiative and ensure that the solution designed for the initial business use case evolves into an enterprisescale reusable secure and extensible data foundation The platform is expected to enable future Salesforce Marketing Cloud Next analytics personalization automation and Agentic AI use cases\nKey Roles Responsibilities\n1 Data 360 Architecture Strategy\nDefine the overall Salesforce Data 360 Data Cloud architecture principles standards and implementation roadmap\nAssess the current Salesforce and enterprise data landscape and establish the targetstate Data 360 architecture\nEnsure that the architecture developed for the initial use case can scale to additional business units customer journeys geographies Salesforce clouds and AI use cases\nEstablish architectural patterns covering ingestion harmonization identity segmentation activation analytics and AI consumption\nMaintain alignment between immediate delivery priorities and longerterm enterprise platform objectives\n2 Enterprise Data Foundation\nDesign the enterprise data model using appropriate Data Model Objects DMOs standard objects custom objects and relationships\nDefine reusable data domains and canonical patterns for customer account contact product transaction engagement service and digital interaction data\nCreate standards for Data Streams Data Lake Objects DLOs DMOs calculated insights and activation targets\nAvoid pointsolution architecture that creates technical debt or limits future use cases\nDefine data retention lifecycle archival scalability and consumption principles\n3 Data Integration Ingestion\nArchitect ingestion of data from Salesforce and enterprise platforms including appropriate use of\noSalesforce CRM\noMarketing platforms\noERP systems such as SAP\noData warehouseslakes\noAPIs and middleware such as MuleSoft\noBatch and streaming sources\nDetermine appropriate ingestion patterns and latency requirements for batch nearrealtime and streaming integration\nDefine error handling reconciliation observability and dataquality controls\nWork with integration and sourcesystem teams to resolve dataquality and datacontract issues\n4 Identity Resolution Customer 360\nDevelop the enterprise strategy for customer identity and profile unification\nConfigure and govern identity resolution matching reconciliation and survivorship rules\nDetermine appropriate identifiers and match keys across Salesforce and nonSalesforce systems\nPrevent incorrect profile merging and excessive profile fragmentation\nDefine processes for monitoring and continuously improving identityresolution quality\nEstablish a trusted Customer 360 profile capable of supporting downstream CRM marketing analytics and AI use cases\n5 SFMCMarketing Cloud Next Activation\nA key part of the requirement is the combination of Data 360 expertise with an understanding of SFMCMarketing Cloud Next\nResponsibilities include\nDefine how unified customer information will be consumed by SFMCMarketing Cloud Next\nDesign segmentation and audience activation architecture\nSupport personalized customer journeys and nextbestaction scenarios\nEstablish reusable calculated insights and audience definitions\nDefine activation patterns across Salesforce and external channels\nEnsure consent and communication preferences are incorporated into audience activation\n6 Agentic AI Agentforce Enablement\nThe Data 360 foundation is specifically expected to become a catalyst for broader Agentic AI and Salesforce use cases\nThe architect should therefore\nDesign Data 360 so trusted enterprise data can be safely consumed by Salesforce AI capabilities\nIdentify reusable customer context and data products suitable for AIAgentforce scenarios\nDefine grounding patterns for AI use cases using unified enterprise information\nWork with AI and Salesforce architecture teams to identify data readiness gaps\nEstablish appropriate controls for privacy permissions data quality and sensitive information used by AI\nSupport future use cases such as serviceagent assistance personalized recommendations sales intelligence and automated customer interactions\n7 Security Privacy Governance\nDefine Salesforce Data 360 accesscontrol and security architecture\nEstablish sta","description_format":"text","description_chars":4762,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Enterprise Apps 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