Salesforce Data 360 Architect

Build the Future with AspenView Technology Partners At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries. Why Join AspenView? At AspenView, we’re more than a nearshore IT partner, we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients, and meaningful career paths for our people. About the Role We are seeking a Salesforce Data 360 Architect to own the data architecture underpinning a North American client’s Salesforce AI and personalization program: what enters Data 360, how it is harmonized, how identity is resolved, how it is activated, and what it costs. Because Data 360 (formerly Data Cloud) is consumption-priced and easy to misconfigure expensively, this role carries both architectural and commercial accountability. This is a full-time, contractor agreement, remote nearshore position delivered from AspenView’s Latin American delivery centers, working the client’s core business hours with substantial time-zone overlap. You will be part of the client’s squad under AspenView Delivery Leadership, which holds the employment relationship and delivery accountability. This is a contributor role, not a task-execution role, the team needs someone who questions whether the right thing is being built, and says so. What You Will Do Data Architecture Canonical Data Model: Design the canonical data model and mapping strategy across CRM, ERP, warehouse, and event sources. Identity Resolution: Own identity resolution design, including match rules, reconciliation, and unified profile definition. Ingestion Strategy: Decide what is ingested, what is federated zero-copy, and what stays out of Data 360 entirely. Activation & AI Readiness Segmentation & Activation: Design segmentation, calculated insights, and activation paths into Marketing Cloud, Service Cloud, and advertising platforms. Agentforce Grounding: Define the grounding architecture for Agentforce, including retrieval sources and data-freshness requirements. Privacy by Design: Build consent, retention, and data-residency handling into the architecture from the start. Cost & Governance Consumption Management: Model and monitor Data 360 credit consumption, and design to reduce it. Data Governance: Establish ownership, lineage, quality thresholds, and change control. Change Approval: Review and approve data-stream and segment changes before they reach production. Advisory Executive Guidance: Explain to executive stakeholders what Data 360 will and will not solve. Technical Leadership: Guide data engineers and Agentforce architects…