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Salesforce Data Cloud Architect
Job in
Atlanta, Fulton County, Georgia, 30307, USA
Listed on 2026-01-02
Listing for:
Axelon Services Corporation
Full Time
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
Salesforce Data Cloud Architect.
Job Location:
Atlanta, GA
Hybrid - 3 Days onsite
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 (Mule Soft, 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 Mule Soft.
- Experience in working with client in USA is a Must, and in coordinating between Onsite-Offshore daily
- Healthcare domain experience is a huge plus.
- 810+ 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, GCP, 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.
- Review design and optimize applications transforming into scalable solutions in ERP/CRM systems
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.
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