Hi ,
Hope you’re doing well.
My name is Yashasvi Hasija, and I am a Technical Recruiter from Empower
Professionals Inc. We are sourcing a Salesforce Data Cloud Architect
(20789-1)role with one of our clients based in Atlanta, GA (3 days a
week onsite) .Please let me know if you are available in the job market
and interested in this role (see job description below) - if so, we can
connect and speak further.
If you’re skills match the job description, please share your updated
resume along with your location and expected rate so that I can get in
touch with you for further process
Role: Salesforce Data Cloud Architect (20789-1)
Location: Atlanta, GA (3 days a week onsite)
Duration: 12+ Months
Must Have –
Need Cloud Architect
Data cloud
Security
warehouse concept
ETL concept
any cloud
Healthcare- good to have
offshore/ onshore coordination
Must Have:
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)
Must Have Certifications:
Salesforce Certified Data Cloud Consultant (Mandatory)
Salesforce Application Architect or Salesforce System Architect (At
least one mandatory)
Requirements:
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.
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 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.
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
--
Thanks
Yashasvi Hasija
Technical Recruiter | Empower Professionals
......................................................................................................................................
Yash...@empowerprofessionals.com |
LinkedIn:
linkedin.com/in/yashasvi-hasija-6a745625b
100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873
www.empowerprofessionals.com
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