Experience
12 - 17 yrs
Salary (CTC)
₹8L - ₹8.8L
Job Location
Bengaluru, India
Vacancy
1
Designation
Software Engineer
Job Type
ONSITE
Job Description
Project Role : Custom Software Engineer
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Salesforce Data 360
Good to have skills : Salesforce Lightning Aura ComponentsMinimum
12 year(s) of experience is required
Educational Qualification : 15 years full time educationSummary: AI Powered Tech Talent. As a Salesforce Data 360 Engineer, you will be responsible for owning and governing Data Cloudbased architecture across multiple Salesforce implementations. You will design, build, and deploy scalable Data 360 solutions while ensuring enterprise-grade performance, security, and data governance. This role requires strong hands-on experience with Salesforce Data Cloud (Data 360), combined with deep Salesforce technical expertise. You will collaborate with business and delivery teams to drive adoption of unified customer data, real-time activation, and AI-enabled use cases, while establishing best practices for data modeling, identity resolution, and activation architectures.Roles Responsibilities: Own and govern the technical architecture for Salesforce Data Cloud (Data 360) implementations across programs. Design, build, and deploy enterprise-scale Data 360 solutions, including data ingestion, unification, and activation. Define data ingestion, identity resolution, data modeling, and activation strategies aligned to business use cases. Lead and guide teams responsible for Data Cloud development, configuration, and deployment. Conduct technical and architectural design reviews, ensuring adherence to Data Cloud best practices and standards. Integrate Data Cloud with Salesforce core data models, Marketing Cloud, Personalization, AgentForce, Apex, Flows, and external systems. Identify platform limitations and data constraints, designing scalable and compliant mitigation approaches. Provide architectural oversight and technical guidance across multiple teams and initiatives. Facilitate technical workshops for Data Cloud solution design, identity strategy alignment, and activation planning. Define reusable Data Cloud frameworks, patterns, and best practices for ingestion, unification, and activation. Ensure compliance with non-functional requirements, including performance, scalability, security, and data governance. Mentor teams on Data Cloud implementation standards, governance, and release best practices. Evaluate new Salesforce Data Cloud features and roadmap enhancements for enterprise adoption.Professional Technical Skills:Must Have Skills Strong hands-on experience with Salesforce Data Cloud (Data 360) in enterprise implementations Drive adoption of advanced Data Cloud capabilities including Agentforce, Einstein AI, Zero Copy, Semantic Layer, and Document AI. Data Streams DMOs Deep understanding and proven hands-on experience of Data Streams, DMOs, Identity Resolution, Data Transforms, Calculated Insights, Segmentation, and Activation. Proven ability to design and govern data ingestion strategies (batch, streaming, APIs, Zero Copy). Experience working across Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud with Data Cloud integration. Strong knowledge of Salesforce platform limits, Data Cloud constraints, and scalable architecture design Ability to develop maintainable and scalable solutions. Strong problem-solving and communication skills. Advanced SQL skills for analytics and Calculated insights. Experience with APIs, event data, and cloud data platforms. Experience working with JSON, APIs, and data integration pipelines. Understanding of event-based data and customer engagement tracking. Basic understanding of Salesforce metadata, objects, and permissions. Experience with DevOps processes, CI/CD pipelines, and release governance in Salesforce environments.Soft SkillsStrong leadership, communication, and decision-making skills with the ability to guide teams, manage stakeholders, and drive successful Salesforce Data 360 delivery in complex enterprise environments.Certifications Required: Salesforce Data Cloud Consultant Mandatory Salesforce Administrator Mandatory Agentforce Specialist Preferred Salesforce AI Associate Preferred Salesforce Platform Data Architect Preferred Salesforce Marketing Cloud Consultant Preferred Salesforce Service Cloud Consultant - Preferred Salesforce Sales Cloud Consultant - PreferredQualification 15 years full time education
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Salesforce Data 360
Good to have skills : Salesforce Lightning Aura ComponentsMinimum
12 year(s) of experience is required
Educational Qualification : 15 years full time educationSummary: AI Powered Tech Talent. As a Salesforce Data 360 Engineer, you will be responsible for owning and governing Data Cloudbased architecture across multiple Salesforce implementations. You will design, build, and deploy scalable Data 360 solutions while ensuring enterprise-grade performance, security, and data governance. This role requires strong hands-on experience with Salesforce Data Cloud (Data 360), combined with deep Salesforce technical expertise. You will collaborate with business and delivery teams to drive adoption of unified customer data, real-time activation, and AI-enabled use cases, while establishing best practices for data modeling, identity resolution, and activation architectures.Roles Responsibilities: Own and govern the technical architecture for Salesforce Data Cloud (Data 360) implementations across programs. Design, build, and deploy enterprise-scale Data 360 solutions, including data ingestion, unification, and activation. Define data ingestion, identity resolution, data modeling, and activation strategies aligned to business use cases. Lead and guide teams responsible for Data Cloud development, configuration, and deployment. Conduct technical and architectural design reviews, ensuring adherence to Data Cloud best practices and standards. Integrate Data Cloud with Salesforce core data models, Marketing Cloud, Personalization, AgentForce, Apex, Flows, and external systems. Identify platform limitations and data constraints, designing scalable and compliant mitigation approaches. Provide architectural oversight and technical guidance across multiple teams and initiatives. Facilitate technical workshops for Data Cloud solution design, identity strategy alignment, and activation planning. Define reusable Data Cloud frameworks, patterns, and best practices for ingestion, unification, and activation. Ensure compliance with non-functional requirements, including performance, scalability, security, and data governance. Mentor teams on Data Cloud implementation standards, governance, and release best practices. Evaluate new Salesforce Data Cloud features and roadmap enhancements for enterprise adoption.Professional Technical Skills:Must Have Skills Strong hands-on experience with Salesforce Data Cloud (Data 360) in enterprise implementations Drive adoption of advanced Data Cloud capabilities including Agentforce, Einstein AI, Zero Copy, Semantic Layer, and Document AI. Data Streams DMOs Deep understanding and proven hands-on experience of Data Streams, DMOs, Identity Resolution, Data Transforms, Calculated Insights, Segmentation, and Activation. Proven ability to design and govern data ingestion strategies (batch, streaming, APIs, Zero Copy). Experience working across Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud with Data Cloud integration. Strong knowledge of Salesforce platform limits, Data Cloud constraints, and scalable architecture design Ability to develop maintainable and scalable solutions. Strong problem-solving and communication skills. Advanced SQL skills for analytics and Calculated insights. Experience with APIs, event data, and cloud data platforms. Experience working with JSON, APIs, and data integration pipelines. Understanding of event-based data and customer engagement tracking. Basic understanding of Salesforce metadata, objects, and permissions. Experience with DevOps processes, CI/CD pipelines, and release governance in Salesforce environments.Soft SkillsStrong leadership, communication, and decision-making skills with the ability to guide teams, manage stakeholders, and drive successful Salesforce Data 360 delivery in complex enterprise environments.Certifications Required: Salesforce Data Cloud Consultant Mandatory Salesforce Administrator Mandatory Agentforce Specialist Preferred Salesforce AI Associate Preferred Salesforce Platform Data Architect Preferred Salesforce Marketing Cloud Consultant Preferred Salesforce Service Cloud Consultant - Preferred Salesforce Sales Cloud Consultant - PreferredQualification 15 years full time education
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