Cognizant · 5 hours ago

SF Data cloud solution architect (Remote)

Bridgewater, NJ

Full-time

Remote

Senior Level, Lead/Staff

$90K/yr - $140K/yr

8+ years exp

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Responsibilities

Partner with sales and pre-sales teams to assist customer decision making as it relates to Data Cloud. Run Q&A sessions, provide a strong POV on feature usage and benefit, guide the initial use case or architectural discussions, and similar support.

Guide product selection and/or technology stack roadmaps for Salesforce solutions and provide similar input for non-Salesforce solutions.

Post sale, partner with delivery team to participate in first 1-3 months of the engagement. Ensure all knowledge is transferred from sales to delivery, and provide a consistent presence to the client during the transition period

Participate in architecture, data model, and integration design conversations centered around Salesforce Data Cloud with an understanding of the current and future technology stack.

Ensure that the planned solution delivers business value in a meaningful and measurable way. With business oriented end users, the user experience within Data Cloud or through Data Cloud driven interfaces is critical.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Salesforce Data CloudArchitecting for customer experienceSalesforce CRMMarketing CloudDigital marketing capabilitiesAI solutionsCX technology stackData modelingComplex data structuresPre-sales experienceIntegration designData management best practicesTechnical requirements gatheringSolution execution

Required

8+ years architecting for customer experience

2+ years experience partially or fully in a sales or pre-sales role.

Salesforce certification for Data Cloud Consultant, with certifications for Marketing Cloud and Salesforce CRM highly recommended.

Knowledge of key digital marketing capabilities – customer identity/context, data management, marketing analytics, marketing automation and orchestration, decision engines/offer engines/personalization, multi-channel activation, customer engagement.

Knowledge of use cases, trends, and insights of at least one of the following: sales, service, or commerce

Experience working with AI solutions, either within or outside the Salesforce ecosystem. A healthy interest and curiosity in AI is a must.

Experience with auditing and assessing the maturity of a customer’s CX technology stack and ability to provide improvement recommendations.

Experience with designing marketing or CX technology stack transformation roadmaps for scale.

Experience with complex data structures, data modeling and databases (typical marketing, sales, service data and data structures). Ability to provide best practice guidance on data management and integrations (Zero Copy, APIs, file-drops, etc.).

Experience leading discoveries, gathering technical requirements, and executing a solution based on system best practices, platform limitations, and client ability to maintain.