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HCL Global Systems Inc · 18 hours ago

Salesforce Data cloud Architect

Atlanta, GA

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

HCL Global Systems Inc is seeking a Salesforce Data Cloud Architect to design and implement data architectures within the Salesforce ecosystem. The role involves ensuring data governance, integration, and the implementation of Customer 360 solutions while collaborating with various teams to leverage AI-driven analytics.

B2BConsultingHuman ResourcesInformation TechnologySoftwareStaffing Agency

H1B Sponsor Likely

Responsibilities

Design the overall data architecture strategy for Salesforce Data Cloud, ensuring alignment with business objectives and Salesforce best practices

Architect and implement integration solutions between Salesforce Data Cloud and other enterprise systems, ensuring data consistency and integrity across platforms

Establish and enforce data governance practices, ensuring data accuracy, quality, security, and compliance with relevant regulations (e.g., GDPR, CCPA)

Define data models and structures within Salesforce Data Cloud to support business processes and reporting requirements. Design scalable and maintainable data architectures

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

Collaborate with teams to integrate AI-driven analytics and predictive models within Salesforce, leveraging data cloud insights to drive business outcomes

Engage with Enterprise Architecture teams in discussing Salesforce Data Modeling

Provide hands-on support to the programming team in ensuring Apex/Visualforce/Lightning based solutions are implemented correctly and efficiently

Qualification

Salesforce Data CloudData Cloud ArchitectureAgentforce + AI/ML IntegrationsData Architecture & GovernanceData IntegrationsCloud-native PlatformsSalesforce Technical ExpertiseEnterprise Architecture AlignmentHealthcare domain experienceSalesforce Certified Data Cloud ConsultantSalesforce Application ArchitectUS client-facing experienceOnsite-offshore coordinationProblem-solving skills

Required

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)

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)

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, 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

Healthcare domain experience is a huge plus

Very good experience in having architected and implemented Salesforce solutions, from a development perspective

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

Preferred

Salesforce Certified Data Cloud Consultant (must-have)

Salesforce Application/System Architect (must have one of the two)

Company

HCL Global Systems Inc

Glassdoor3.8

HCL Global Systems is a staffing and recruiting company providing consulting and business solutions.

Founded in 2005

Farmington Hills, Michigan, USA

1001-5000 employees

http://hclglobal.com

H1B Sponsorship

HCL Global Systems Inc has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (265)

2024 (285)

2023 (378)

2022 (390)

2021 (470)

2020 (736)

Funding

Current Stage

Late Stage

Leadership Team

Andy HCL

Cheif Marketing Officer

Company data provided by crunchbase