Solution Architect (Veeva Vault CRM to Salesforce Migration)

Accellor • San Francisco, CA

2h

About The Position

Accellor is seeking a Solution Architect to lead a Veeva Vault CRM to Salesforce migration project. The ideal candidate is fluent in Salesforce Data Cloud, Agentforce, and Life Sciences CRM platforms, and thrives in complex, multi-workstream programs with distributed teams and challenging client environments. This role requires a leader who can bring clarity to ambiguous technical problems, own end-to-end solution design, and mentor junior team members. The position involves leading the design and build for Agentforce use cases, Data Cloud implementation tracks, and integrations between various Salesforce platforms and external data sources. The Solution Architect will act as a bridge between functional requirements and technical delivery, provide technical leadership, contribute to team development, and support pre-sale activities and practice development.

Requirements

• Minimum of 10 years of Salesforce delivery experience, with meaningful time in both functional and technical roles on full-lifecycle implementations.
• Minimum of 4 years’ experience as a Solution Architect or senior technical lead on at least two end-to-end Salesforce programs.
• Minimum of 2 years working knowledge of data architecture, identity resolution, segmentation, and real-time activation patterns.
• Experience with Salesforce Life Sciences Cloud, Health Cloud, or equivalent pharma/biotech CRM; understanding of commercial and patient-facing use cases.
• Experience with Veeva Vault CRM, Veeva CRM, or the Veeva-to-Salesforce migration landscape and integration patterns.
• Minimum of 1 year hands-on experience designing and implementing Agentforce use cases, including AI-powered workflow automation.
• Exceptional Integration experience — practical experience designing integrations across CRM, data platforms, and external systems.
• Minimum of 2 years’ experience in client-facing consulting environments leading technical workstreams in Agile or hybrid delivery frameworks.
• Bachelor’s degree in Computer Science, Engineering, or equivalent.

Nice To Haves

• Experience designing or delivering Agentforce Voice, contact center AI, or conversational agent solutions in Life Sciences.
• Agentforce Specialist, Data Cloud Consultant, Sales/Service Cloud Consultant, Health Cloud Accreditation, or Certified Application Architect.
• Experience managing technical delivery across onshore/offshore distributed teams.
• Prior experience contributing to RFP responses or solution design in a pursuit context.

Responsibilities

• Lead end-to-end solution design across assigned workstreams, including data model, integration patterns, security model, and platform configuration.
• Keep Solution Design Documents (SDDs), architecture decision records, and data flow diagrams current throughout delivery.
• Own technical design and build for Agentforce use cases, including patient services agents, HCP engagement agents, and Voice AI integrations.
• Lead Data Cloud implementation tracks, including data ingestion, identity resolution, unified profile design, segmentation, and activation.
• Identify and resolve data quality and governance issues within Data Cloud workstreams.
• Design and implement integrations between Data Cloud, CRM, external data sources, and Agentforce capabilities.
• Make architecture tradeoffs across middleware options such as MuleSoft, REST/SOAP, and Salesforce Connect.
• Serve as the connective layer between functional requirements and technical delivery.
• Align architects, developers, and client stakeholders on design decisions and scope boundaries.
• Lead design sessions, code reviews, and deployment governance.
• Manage solution risks, design gaps, and cross-workstream dependencies.
• Escalate issues proactively.
• Guide and mentor L8 architects and analysts.
• Set technical standards across the team and build capability in Data Cloud and AI delivery practices.
• Support estimation, scoping, and staffing conversations during pursuit phases.
• Contribute to architecture sections of RFP responses and orals.
• Build accelerators, methodology assets, and Life Sciences-specific AI use case patterns that scale across the practice.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior