Salesforce Data Cloud Architect

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

salesforce
SFDC
DATA
CLOUD
MDM

Job Details

Hi,

Please find the job description below:

Role: Salesforce Data Cloud Architect

Location: Atlanta, GA (3D Onsite)

Duration: 12 Months+

Must Have Skills

  • Skill 1 Salesforce Data Cloud (3+ years hands-on): Data models, harmonization, identity resolution, calculated insights, DLOs, segmentation, DQL
  • Skill 2 Data Cloud Architecture & Customer 360: CDP, unified data platforms, real-time personalization, predictive insights
  • Skill 3 Agent force + AI/ML Integrations: Einstein Studio, Model Builder, RAG retrievers, external LLM integrations
  • Skill 4 Data Architecture & Governance: MDM, data security, compliance, data modeling, data lake/warehouse concepts
  • Skill 5 Data Integrations: API-based integrations, ETL/ELT pipelines, MuleSoft, event-driven designs
  • Skill 6 Cloud-native Platforms: familiarity and integration patterns
  • Skill 7 Salesforce Technical Expertise: Apex/Visualforce/Lightning, Salesforce API frameworks, Marketing Cloud, MuleSoft, Tableau
  • Skill 8 Enterprise Architecture Alignment: Ability to engage EA teams for Salesforce data models and scalable architecture decisions

Must Have Certifications

  • Salesforce Certified Data Cloud Consultant (Mandatory)
  • Salesforce Application Architect or Salesforce System Architect (At least one mandatory)

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 Agent force 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 Agent force
  • Strong grounding in real-time personalization, predictive insights, and recommendation engines.

Technical Expertise:

o Proven track record in designing and implementing data architectures within the Salesforce ecosystem.

o In-depth knowledge of Salesforce Data Cloud (Customer 360) and related technologies (MuleSoft, Marketing Cloud, Tableau, etc.).

o Strong understanding of Salesforce architecture, including integration patterns, data modeling, and API frameworks.

o Hands-on experience with Salesforce data tools like Salesforce Data Loader, Einstein Analytics, and other data management platforms.

Data Management:

o Expertise in data governance, data security, and regulatory compliance.

o 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.

PREFERRED SALESFORCE.COM 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

o Data Cloud Strategy & Architecture: Design the overall data architecture strategy for Salesforce Data Cloud, ensuring alignment with business objectives and Salesforce best practices.

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

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

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

o 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.

o 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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