Overview
On Site
55
Contract - W2
Contract - 6 Month(s)
100% Travel
Unable to Provide Sponsorship
Skills
API
Amazon Web Services
Cloud Computing
Cloud Architecture
DQL
Customer Engagement
Conflict Resolution
Business Process
Data Governance
Artificial Intelligence
Data Architecture
Data Integration
Data Lake
Data Management
Data Modeling
Data Security
Data Warehouse
Databricks
ELT
Enterprise Architecture
Extract, Transform, Load
Good Clinical Practice
Analytics
Apex
Health Care
Google Cloud Platform
Machine Learning (ML)
Marketing
Master Data Management
Microsoft Azure
Mobile Device Management
Middleware
MuleSoft
Oracle Application Express
Real-time
Regulatory Compliance
Salesforce.com
Snow Flake Schema
Tableau
Visualforce
Job Details
Position: Salesforce Data Cloud Architect
Location: Atlanta, GA
Location: Atlanta, GA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description:
- The client is looking for a Salesforce Data cloud Architect.
OVERALL EXPERIENCE
- 8–10+ years in Salesforce/enterprise data platforms, with 3+ years hands-on experience in Salesforce Data Cloud.
- Deep understanding of Data Cloud architecture, objects, data models, data lake objects, harmonization, calculated insights, and identity resolution.
- Expertise in Data Cloud Query Language (DQL) and advanced segmentation strategies.
- Strong knowledge of data architecture, data governance, MDM, data lakes and data warehousing concepts.
- Hands-on experience designing large-scale CDP and unified data platforms.
- Familiarity and experience working with cloud-native architectures (AWS, Azure, Google Cloud Platform, Snowflake, Databricks).
- Expertise in API-based integrations, ETL/ELT pipelines, and event-driven architectures.
- Must have proven experience in architecting Agentforce solutions with AI/ML integrations with Data Cloud, including Einstein Studio and RAG-based retrievers.
- Experience working with model builder and integrating external LLMs with Agentforce
- Strong grounding in real-time personalization, predictive insights, and recommendation engines.
Technical Expertise:
- Proven track record in designing and implementing data architectures within the Salesforce ecosystem.
- In-depth knowledge of Salesforce Data Cloud (Customer 360) and related technologies (MuleSoft, Marketing Cloud, Tableau, etc.).
- Strong understanding of Salesforce architecture, including integration patterns, data modeling, and API frameworks.
- Hands-on experience with Salesforce data tools like Salesforce Data Loader, Einstein Analytics, and other data management platforms.
Data Management:
- Expertise in data governance, data security, and regulatory compliance.
- Strong experience with data integration, ETL (Extract, Transform, Load) processes, and middleware platforms like MuleSoft.
- Healthcare domain experience is a huge plus.
PREFERRED CERTIFICATIONS
- Salesforce Certified Data Cloud Consultant (must-have)
- Salesforce Application/System Architect (must have one of the two)
SALESFORCE SKILLSET & KNOWLEDGE
- Very good experience in having architected and implemented Salesforce solutions, from a Development perspective.
- Hand-holding Programming team in ensuring Apex/Visualforce/Lightning based solutions are implemented correctly and efficiently.
Must have Data Cloud Skills and Knowledge
- Data Cloud Strategy & Architecture: Design the overall data architecture strategy for Salesforce Data Cloud, ensuring alignment with business objectives and Salesforce best practices.
- Data Integration: Architect and implement integration solutions between Salesforce Data Cloud and other enterprise systems, ensuring data consistency and integrity across platforms.
- Data Governance: Establish and enforce data governance practices, ensuring data accuracy, quality, security, and compliance with relevant regulations (e.g., GDPR, CCPA).
- Data Modeling: Define data models and structures within Salesforce Data Cloud to support business processes and reporting requirements. Design scalable and maintainable data architectures.
- Customer 360 Solutions: Lead the implementation of Salesforce Data Cloud to enable a single view of customers (Customer 360), ensuring optimal customer insights and analytics for personalized customer engagement.
- Advanced Analytics & AI: Collaborate with teams to integrate AI-driven analytics and predictive models within Salesforce, leveraging data cloud insights to drive business outcomes.
- Must be able to engage with Enterprise Architecture teams in discussing Salesforce Data Modeling
- Strong Problem-solving skills, with ability to get multiple solutions for/approaches to solve a problem/scenario
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.