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Empower Professionals Inc - Talent & IT Services · 21 hours ago

Salesforce Data Cloud Architect

Atlanta, GA

Contract

Hybrid

Senior Level, Lead/Staff

8+ years exp

Empower Professionals Inc is a talent and IT services company seeking a Salesforce Data Cloud Architect. The role involves designing and implementing data architecture strategies for Salesforce Data Cloud, ensuring data governance, and integrating advanced analytics and AI-driven solutions.

ComputerSoftware

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Need Cloud Architect

Data cloud

Security

Warehouse concept

ETL concept

Any cloud

Healthcare- good to have

Offshore/ onshore coordination

Salesforce Data Cloud (3+ years hands-on): Data models, harmonization, identity resolution, calculated insights, DLOs, segmentation, DQL

Data Cloud Architecture & Customer 360: CDP, unified data platforms, real-time personalization, predictive insights

Agentforce + AI/ML Integrations: Einstein Studio, Model Builder, RAG retrievers, external LLM integrations

Data Architecture & Governance: MDM, data security, compliance, data modeling, data lake/warehouse concepts

Data Integrations: API-based integrations, ETL/ELT pipelines, MuleSoft, event-driven designs

Cloud-native Platforms: AWS/Azure/GCP/Snowflake/Databricks familiarity and integration patterns

Salesforce Technical Expertise: Apex/Visualforce/Lightning, Salesforce API frameworks, Marketing Cloud, MuleSoft, Tableau

Enterprise Architecture Alignment: Ability to engage EA teams for Salesforce data models and scalable architecture decisions

Healthcare domain experience (Huge plus but not mandatory)

US client-facing experience and onsite–offshore coordination (Mandatory)

Salesforce Certified Data Cloud Consultant (Mandatory)

Salesforce Application Architect or Salesforce System Architect (At least one mandatory)

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

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 client in USA is a Must, and in coordinating between Onsite-Offshore daily

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

Qualification

Salesforce Data CloudData Cloud ArchitectureData IntegrationsData Architecture & GovernanceCloud-native PlatformsSalesforce Technical ExpertiseHealthcare domain experienceSalesforce CertificationsOnsite-Offshore coordinationProblem-solving skills

Required

Need Cloud Architect

Data cloud

Security

warehouse concept

ETL concept

any cloud