Cognizant · 17 hours ago
SF Data cloud solution architect (Remote)
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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
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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.
Benefits
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Company
Cognizant
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era.
Funding
Current Stage
Public CompanyTotal Funding
$0.24MKey Investors
Summit Financial Wealth Advisors
2016-11-18Post Ipo Equity· $0.24M
1998-06-19IPO· undefined
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