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Role: Solution Architect
Location: San Jose, CA – Onsite
Contract Role
Job description:
The Challenge:
As part of the M&A integration, Client is driving alignment of Sales capabilities, systems, and architecture to the enterprise “Adopt & Go” model. This role is critical in ensuring decisions are grounded in system architecture, integration feasibility, and platform constraints, with a focus on how core Sales systems (CRM, lead, opportunity, account, forecasting) evolve toward the target state.
What You’ll Do
Participate in cross-functional sessions (architecture lens) Translate discussions into system interactions and architecture implications Capture architecture-level system flows Document system flows (not business processes): ▪ System touchpoints and orchestration Data flows and dependencies Integration patterns Assess system alignment and gaps Identify fits, gaps, and required system changes from a technology perspective Perform system mapping and integration analysis Define system of record, integration points, and dependencies across Sales platforms Support architecture and integration planning Contribute to target-state architecture, sequencing, and design direction
Job Qualifications
7+ years in Solution / Enterprise Architecture or Systems Integration Strong experience with Sales systems architecture, including CRM, lead/opportunity, account, and forecasting Experience in large enterprise Sales ecosystems and familiarity with capability modeling (L2/L3) and architecture mapping Experience in M&A integration or large-scale enterprise transformations Ability to translate discussions into system architecture, integration flows, and data movement Strong understanding of: APIs, integrations, and system-of-record concepts Data flows and cross-system dependencies Experience working in cross-functional workshops Experience building or integrating copilot-style or AI-assisted workflows within enterprise systems Familiarity with agent-driven / autonomous workflow patterns and orchestration across systems Experience integrating large language models into enterprise applications (e.g., workflow automation, knowledge grounding, decision support)
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