Lead Salesforce Engineer - Data Cloud & Agentforce

JDA Software; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JDA Software is seeking a Lead Salesforce Engineer for Data Cloud and Agentforce to design, implement, and optimize scalable Salesforce Data Cloud solutions. You will build data streams from CRM, ERP, and external apps, configure DMOs and identity resolution, and develop AI-driven insights to support Customer 360, Contract Intelligence, and Sales AI initiatives.

You will collaborate with Enterprise Architecture, Data Engineering, and stakeholders, ensuring data quality, governance, and secure

Qualifications

• 5+ years Salesforce platform experience.
• 2+ years hands-on Salesforce Data Cloud implementation.
• Experience configuring Data Streams, DMOs, Identity Resolution, Calculated Insights.
• Experience with Salesforce Agentforce, Einstein AI, or enterprise AI tech.
• Experience integrating Salesforce with enterprise apps via APIs, middleware, ETL.
• Strong data modeling, governance, and master data concepts.
• Experience with CRM Analytics.
• Experience in Agile/Scrum environments.
• Strong analytical, troubleshooting, and collaboration skills.

Responsibilities

• Design, configure, and optimize Data Cloud solutions.
• Build and maintain Data Streams from CRM, ERP, data warehouses, and external apps.
• Configure DMOs, Identity Resolution, data mappings, and data transformations.
• Develop Calculated Insights, Segments, and Data Actions for business use cases.
• Configure and optimize Agentforce capabilities and AI grounding.
• Implement Customer 360 and Contract Intelligence using Salesforce AI.
• Support CRM Analytics datasets, dashboards, and AI insights.
• Integrate Data Cloud with Databricks, APIs, middleware, and cloud apps.
• Mentor developers; create technical documentation and best practices.
• Stay current with Salesforce releases; ensure security and governance.

Skills

Salesforce Data Cloud

Data integration

Agentforce

CRM Analytics

Identity Resolution

APIs / Middleware / ETL

Data governance

Agile / Scrum

Troubleshooting

Communication

Education

Bachelor's degree in Computer Science, IT, Engineering, or related field

Tools

Databricks

CRM Analytics

Job description

## Lead Salesforce Engineer - Data Cloud & AgentforceApplylocations: Hyderabad: Bangaloretime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 28, 2026 (20 days left to apply)job requisition id: 262271### Scope:* The Sr. Salesforce Data Cloud & Agentforce Engineer is responsible for the design, development, implementation, and optimization of Salesforce Data Cloud and AI capabilities supporting Blue Yonder's Commercial Technology organization. This role serves as the technical expert for Salesforce Data Cloud, Agentforce, CRM Analytics, Document AI, and Customer 360 solutions, helping transform enterprise data into AI-ready assets that drive intelligent business processes and customer experiences.* Working closely with Enterprise Architecture, Data Engineering, Salesforce Development, Business Analysts, and business stakeholders, this individual will build scalable data integrations, configure Data Cloud capabilities, develop AI-enabled solutions, and support enterprise initiatives including Customer 360, Contract Intelligence, Sales AI, and advanced analytics.* The ideal candidate combines deep Salesforce platform expertise with hands-on experience implementing Data Cloud, enterprise integrations, and AI capabilities, while maintaining a strong focus on data quality, governance, security, and business value.### What you'll do:* Design, configure, and optimize Salesforce Data Cloud solutions.* Build and maintain Data Streams from enterprise systems including CRM, ERP, data warehouses, and external applications.* Configure Data Model Objects (DMOs), Identity Resolution, data mappings, and data transformations.* Develop Calculated Insights, Segments, and Data Actions to support business use cases.* Configure and optimize Agentforce capabilities, including Skills, Topics, Actions, Prompt Templates, and AI grounding.* Implement Customer 360 and Contract Intelligence solutions leveraging Salesforce AI technologies.* Configure and support CRM Analytics datasets, dashboards, and AI-driven insights.* Integrate Salesforce Data Cloud with enterprise platforms such as Databricks, APIs, middleware, and other cloud applications.* Support Document AI implementations and AI-assisted metadata extraction.* Partner with business stakeholders to identify, design, and deliver AI-powered business capabilities.* Ensure data quality, governance, security, and compliance across Data Cloud implementations.* Troubleshoot production issues and optimize platform performance.* Stay current with Salesforce releases and recommend new capabilities that improve business outcomes.* Create technical documentation, implementation standards, and best practices.* Mentor other Salesforce developers on Data Cloud and Agentforce capabilities.### What we are looking for:* Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.* 5+ years of Salesforce platform experience.* 2+ years of hands-on Salesforce Data Cloud implementation experience.* Experience configuring Data Streams, Data Model Objects (DMOs), Identity Resolution, and Calculated Insights.* Experience with Salesforce Agentforce, Einstein AI, or other enterprise AI technologies.* Experience integrating Salesforce with enterprise applications using APIs, middleware, or ETL technologies.* Strong understanding of data modeling, data governance, and master data concepts.* Experience with CRM Analytics.* Experience working in Agile/Scrum environments.* Strong analytical, troubleshooting, and problem-solving skills.* Excellent communication and stakeholder collaboration skills.### Preferred Qualifications* Salesforce Data Cloud Accredited Professional or equivalent certification.* Salesforce AI Associate or AI Specialist certification.* Salesforce Platform Developer certification.* Experience with Databricks or enterprise data platforms.* Experience implementing Customer 360 initiatives.* Experience with Document AI or intelligent document processing.* Experience working with large-scale enterprise data integrations.* Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG) concepts.* Experience supporting Sales, Service, or Commercial Technology organizations.### Success Measures* Successful delivery of Data Cloud and Agentforce capabilities.* Increased adoption of AI-enabled business solutions.* Improved data quality and customer identity resolution.* Reduced implementation time for new AI use cases.* High platform availability and performance.* Delivery of scalable, secure, and reusable technical solutions.* Effective partnership with business and technology stakeholders.