Job Title: Salesforce Data Cloud Lead Location: Ty sons, VA & San Antonio, TX (5 Days onsite in a week) Job Type: Long Term Contract
Job Summary
Client is seeking a Salesforce Data Cloud Lead to drive the design, architecture, and implementation of enterprise-scale Salesforce Data Cloud solutions. This role will lead data strategy initiatives focused on unifying customer data, enabling AI-driven insights, and supporting Customer 360 capabilities across Salesforce platforms.
The ideal candidate will act as a technical leader and subject matter expert responsible for delivering scalable data architectures, overseeing integrations, and enabling data-driven business transformation.
Key Responsibilities
- Lead end-to-end implementation of Salesforce Data Cloud (formerly CDP/Data 360) solutions.
- Architect enterprise data models supporting unified customer profiles and analytics.
- Design and manage data ingestion, transformation, identity resolution, and harmonization strategies.
- Define Data Cloud architecture aligned with enterprise data governance and security standards.
- Oversee integrations between Salesforce and external systems (CRM, ERP, marketing platforms, data lakes).
- Enable Customer 360 use cases by consolidating data across Sales, Service, and Marketing Clouds.
- Provide technical leadership, mentoring developers and data engineers.
- Collaborate with business stakeholders to translate requirements into scalable data solutions.
- Ensure performance optimization, scalability, and reliability of Data Cloud implementations.
- Lead solution design reviews, best practices adoption, and technical governance.
- Support AI and analytics initiatives powered by unified enterprise data.
(Data Cloud leadership roles typically focus on enterprise data architecture, governance, and cross-cloud delivery responsibilities.)
Required Skills & Qualifications
- 8 12+ years of IT experience with strong Salesforce ecosystem expertise.
- 3+ years of hands-on experience with Salesforce Data Cloud / Customer Data Platform (CDP).
- Strong understanding of:
- Data modeling & data architecture
- Identity resolution & customer profile unification
- Data ingestion pipelines & transformations
- Data governance & privacy frameworks
- Experience with Salesforce integrations using REST/SOAP APIs and middleware tools.
- Knowledge of enterprise data platforms (Snowflake, Databricks, AWS, Azure, etc.).
- Experience leading enterprise Salesforce implementations.
- Strong stakeholder communication and leadership skills.
Preferred Qualifications
- Salesforce Certified Data Cloud Consultant (Highly Preferred)
- Salesforce Application Architect or Data Architect certification
- Experience with Financial Services Cloud or banking/credit union domain
- Experience supporting AI/analytics initiatives using Data Cloud
- Exposure to MuleSoft or enterprise integration platforms
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