Salesforce Systems Architect

Overview Formulate and define system scope and requirements through analysis of data architecture and integration patterns in the development of Salesforce Data Cloud solutions. Create and modify data ingestion, unification, and activation procedures to solve complex business problems considering platform limitations, data volume, and processing capacity. Responsibilities Design end-to-end Data Cloud architecture including data streams, data model mappings (DMOs/DLOs), identity resolution rulesets, calculated insights, and activation targets to support current and future cross-functional data requirements Ensure Data Cloud implementations are compatible with and compliant with agency IT architecture standards, Salesforce platform governance, and integration requirements across core Salesforce (Sales/Service Cloud), Marketing Cloud, and external systems via API and connector frameworks Provide detailed specifications to developers covering data ingestion pipelines, segmentation logic, activation flows, and real-time engagement configurations Provide technical expertise in evaluating new Salesforce platform features, managed packages, and system modifications impacting the Data Cloud ecosystem Ensure the common operating environment remains compliant with Salesforce data residency, consent management, and security standards; evaluate and resolve issues related to data unification workflows, segment publishing, and cross-cloud data sharing Provide daily supervision and direction to staff Skills/Experience Experience with Salesforce Data Cloud implementation, including data stream configuration, data model mapping, identity resolution, segmentation, and activation to Marketing Cloud or advertising targets Experience with core Salesforce platform (Sales Cloud, Service Cloud) and Marketing Cloud (Email Studio, Journey Builder, Audience Builder) and how they integrate with Data Cloud via the Data Cloud for Marketing connector and CRM connector Experience providing technical leadership and mentoring on Salesforce platform engineering, data architecture design, and CDP/data platform best practices, including presenting options to leads and clients Experience driving technical planning for Salesforce platform portfolios, including authoring solution designs, managing AppExchange vendor evaluations, and justifying architectural recommendations Ability to apply Salesforce data modeling concepts (party model, canonical DMOs), ingestion patterns (batch vs. streaming), and activation strategies to technical assignments Familiarity with Salesforce Flow, Apex, and SOQL as they relate to Data Cloud extensions and automation; experience with external data connectors (S3, MuleSoft, direct API) preferred Education Bachelor's degree required (prefered in Computer Science, Computer Engineering, Information Systems, or related field). Salesforce Data Cloud Consultant certification, or Salesforce Marketing Cloud credentials preferred. #J-18808-Ljbffr SPECTRAFORCE