Salesforce Data 360 Cloud and agentforce Developer

Ekloud Data Labs; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Ekloud Data Labs is seeking a Salesforce Data 360 Developer to implement Salesforce Data 360 and agentforce solutions. You will configure data ingestion, modeling, identity resolution, unified profiles, and insights to drive activation across marketing systems.

The role requires hands-on expertise with Salesforce Data 360/CDP, APIs, and data integration, working remotely with cross-functional teams to deliver scalable data solutions.

Qualifications

• Hands-on experience with Salesforce Data 360 / Salesforce Data Cloud / Salesforce CDP and Agentforce.
• Experience configuring Data Streams and data ingestion.
• Strong knowledge of Data Lake Objects (DLO) and Data Model Objects (DMO).
• Experience with Data Mapping and Transformations.
• Hands-on experience with Identity Resolution.
• Salesforce Certifications: Architect-level preferred (Application Architect or System Architect).
• Deep expertise in Salesforce Core: Sales Cloud, Service Cloud, Data Cloud, Flow, Apex, LWC, Integration.
• Strong understanding of LLMs, Prompt Engineering, RAG, and AI Governance in an enterprise context.
• Experience integrating Agentforce with external systems via APIs, Mulesoft, or Platform Events.
• 2+ years of hands-on experience with Salesforce Agentforce / Einstein for Service / Copilot / Autonomous Agents.

Responsibilities

• Design and implement Salesforce Data 360 and agentforce solutions per requirements.
• Configure Data Streams for ingesting data from Salesforce and external systems.
• Work with Data Lake Objects and Data Model Objects for storage and modeling.
• Perform data mapping, transformation, standardization, and harmonization.
• Configure Identity Resolution to create unified customer identities.
• Develop and maintain Unified Customer Profiles within Data 360.
• Configure Calculated Insights to derive metrics and insights.
• Create and manage Data 360 Segments based on attributes.
• Configure Activation Targets to distribute segments and insights to downstream systems.
• Support integration between Salesforce Data 360, Salesforce CRM, Marketing Cloud, and other systems.
• Apply Salesforce Platform knowledge (SOQL, Apex/Flows, etc.).
• Participate in solution design, design reviews, and delivery reviews.
• Collaborate with architects, developers, data engineers, and business analysts.

Skills

Salesforce Data 360

Agentforce

Data ingestion

Identity resolution

Unified customer profiles

Calculated insights

Data mapping

Transformations

Data segmentation

Activation targets

Education

Salesforce Certifications: Architect-level (Application Architect / System Architect)

Tools

Data Streams

Data Lake Objects (DLO)

Data Model Objects (DMO)

APIs / Mulesoft

Job description

Role: Salesforce Data 360 + agentforce Developer

Experience: 510 Years

Location: RemoteJob Summary

We are looking for an experienced Salesforce Data 360 Developer to support the implementation and development of Salesforce Data 360 (formerly Salesforce CDP/Data Cloud) solutions. The candidate will be responsible for configuring and implementing data ingestion, data modeling, transformations, identity resolution, unified customer profiles, calculated insights, segmentation, and data activation.

The ideal candidate should have strong hands‑on experience with Salesforce Data 360/CDP and Salesforce Platform, along with a good understanding of data integration, customer data management, and Salesforce ecosystem capabilities.

Key Responsibilities

• Design, configure, and implement Salesforce Data 360 and agentforce solutions based on business and technical requirements.
• Configure and manage Data Streams for ingesting customer data from Salesforce and external systems.
• Work with Data Lake Objects (DLOs) and Data Model Objects (DMOs) for effective data storage and modeling.
• Perform data mapping, transformation, standardization, and harmonization across multiple data sources.
• Configure Identity Resolution, including matching and reconciliation rules, to create unified customer identities.
• Develop and maintain Unified Customer Profiles within Data 360.
• Configure Calculated Insights to derive customer‑level metrics and actionable business insights.
• Create and manage Data 360 Segments based on business and customer attributes.
• Configure Activation Targets to distribute customer segments and insights to downstream systems and marketing platforms.
• Support integration between Salesforce Data 360, Salesforce CRM, Marketing Cloud, and other external systems.
• Apply Salesforce Platform knowledge, including Salesforce objects, APIs, SOQL, Apex/Flows where applicable.
• Participate in solution design, technical reviews, design reviews, and delivery reviews.
• Collaborate with Salesforce architects, developers, data engineers, business analysts, and other stakeholders.

Required SkillsMust Have

• Hands‑on experience with Salesforce Data 360 / Salesforce Data Cloud / Salesforce CDP. and Agentforce
• Experience configuring Data Streams and data ingestion.
• Strong knowledge of Data Lake Objects (DLO) and Data Model Objects (DMO).
• Experience with Data Mapping and Transformations.
• Hands‑on experience with Identity Resolution.
• - *Salesforce Certifications:* Architect‑level preferred. Must have `Application Architect` or `System Architect`. `Agentforce Specialist` or `Einstein AI` certs are a plus
• - Deep expertise in *Salesforce Core*: Sales Cloud, Service Cloud, Data Cloud, Flow, Apex, LWC, Integration
• - Strong understanding of *LLMs, Prompt Engineering, RAG, and AI Governance* in an enterprise context
• - Experience integrating Agentforce with *external systems via APIs, Mulesoft, or Platform Events*

2+ years* of hands‑on experience with *Salesforce Agentforce / Einstein for Service / Copilot / Autonomous Agents*