Salesforce Data Cloud Architect

Location:
Atlanta, GA - Onsite 3 days - U.S Based

Contract:
Long-term project

Note:
Please look for profiles that have specifically played a Data Cloud Architect role in a minimum of 2–3 projects, each with a duration of at least 6 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 – Data Architecture & Governance: MDM, data security, compliance, data modeling, data lake/warehouse concepts
• Skill 4 – Data Integrations: API-based integrations, ETL/ELT pipelines, Mule Soft, event-driven designs
• Skill 5 – Cloud-native Platforms: AWS/Azure/GCP/Snowflake/Databricks familiarity and integration patterns
• Skill 6 – Salesforce Technical Expertise:
  Apex/Visualforce/Lightning, Salesforce API frameworks, Marketing Cloud, Mule Soft, Tableau
• Skill 7 – Enterprise Architecture Alignment:
  Ability to engage EA teams for Salesforce data models and scalable architecture decisions

Salesforce Data Cloud Architect.

UST is looking for a Salesforce Data Cloud Architect.

• 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.

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 (Mule Soft, 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 Mule Soft.
• 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  CERTIFICATIONS

• Salesforce Certified Data Cloud Consultant (must-have)
• Salesforce Application/System Architect (must have one of the two)