Sumeru Inc · 12 hours ago
Salesforce Data Cloud Architect
Atlanta, GA
Contract
Hybrid
Senior Level, Lead/Staff
8+ years expSumeru Inc is seeking a Salesforce Data Cloud Architect to join their team. The role involves designing and implementing data architectures within the Salesforce ecosystem, focusing on Data Cloud architecture, customer 360, and various data integration strategies.
AdvertisingConsultingInformation ServicesInformation Technology
Hiring Manager
Vishalkumar Marodiya
Responsibilities
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 – Agentforce + 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: AWS/Azure/GCP/Snowflake/Databricks 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
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
Qualification
Required
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 – Agentforce + 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: AWS/Azure/GCP/Snowflake/Databricks 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
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
Preferred
Salesforce Certified Data Cloud Consultant (must-have)
Salesforce Application/System Architect (must have one of the two)
Healthcare domain experience is a huge plus
Company
Sumeru Inc
Sumeru is a global conglomerate providing a range of specialist services and consultancy across IT Talent Augmentation and Digital Transformation.
501-1000 employees
H1B Sponsorship
Sumeru 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 (31)
2024 (10)
2023 (6)
2022 (17)
2021 (3)
2020 (7)
Funding
Current Stage
Late StageLeadership Team
Anna Chigogidze
Digital Customer Experience - Partnerships
Company data provided by crunchbase