Salesforce Data Cloud Architect - Atlanta - Axelon Services Corporation

    Axelon Services Corporation
    Axelon Services Corporation Atlanta

    1 week ago

    Description


    Find out more about this role by reading the information below, then apply to be considered.

    Job Title: Salesforce Data Cloud Architect

    Location: Atlanta, GA

    Pay: [Insert Pay Information Here]

    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.
    • Expertise in data governance, data security, and regulatory compliance.
    • Strong experience with data integration, ETL (Extract, Transform, Load) processes, and middleware platforms like MuleSoft.
    • Experience in working with clients in the USA is a must, and in coordinating between Onsite-Offshore daily.
    • Healthcare domain experience is a huge plus.
    Overall Experience:
    • 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.
    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. xhuatnn
    • Strong problem-solving skills, with the ability to get multiple solutions for/approaches to solve a problem/scenario.
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