Full job description
Seeking a Senior Software Engineer with 5-9 years experience to lead design and implementation of Salesforce Data Cloud and Marketing Cloud Personalization solutions. Responsibilities include architecting data models, integrating Data Cloud with MCP and MarTech platforms, collaborating with stakeholders, guiding development teams, ensuring data quality and privacy compliance, troubleshooting integration issues, mentoring junior engineers, supporting audience segmentation and journey orchestration, and evaluating emerging technologies. Required skills: hands-on experience with Salesforce Data Cloud and MCP, expertise in data ingestion, identity resolution, audience segmentation, real-time personalization, customer journey orchestration, API integrations (REST, SOAP), SQL, Python or JavaScript, knowledge of data governance and privacy regulations (GDPR, CCPA). Education: Bachelor's in Engineering (CS, Data, IT) or related field. Certifications: Salesforce Certified Data Cloud Consultant, Marketing Cloud Consultant, Marketing Cloud Personalization Accredited Professional, Marketing Cloud Developer, Administrator, Agent force Specialist. Shift timing: 12 PM - 10 PM. Location: Bengaluru, India.
What you'll do
- Lead the technical design and implementation of Salesforce Data Cloud solutions
- Architect data models and ingestion pipelines for unified customer profiles
- Integrate Data Cloud with MCP and other MarTech platforms for activation and personalization
- Collaborate with business stakeholders to translate requirements into scalable solutions
- Guide development teams in building reusable components and automation scripts
- Ensure data quality, performance optimization, and privacy compliance
- Troubleshoot complex data and integration issues across platforms
- Mentor junior engineers and contribute to technical standards and best practices
- Support audience creation, segmentation, and journey orchestration workflows
- Evaluate emerging technologies and contribute to roadmap planning for Data Cloud adoption
Requirements
- Hands-on implementation experience with Salesforce Data Cloud and Marketing Cloud Personalization (MCP), including architecture, configuration, and deployment of real-time personalization solutions
- Strong expertise in Data Cloud capabilities including data ingestion, identity resolution, profile unification, audience segmentation, and activation
- Proven experience designing and implementing real-time personalization use cases using MCP, Interaction Studio, and behavioral customer data
- Strong understanding of customer journey orchestration across Salesforce Marketing Cloud including Journey Builder and MCP-driven engagement strategies
- Experience with consent management, customer profile stitching, and customer data platform (CDP) best practices
- Proficiency in API integrations (REST, SOAP), event-driven architectures, and data connectors
- Strong skills in SQL, Python, or JavaScript for data transformation, automation, and personalization use cases
- Experience integrating Data Cloud and MCP with enterprise MarTech platforms, CRMs, analytics solutions, and digital experience platforms
- Knowledge of data governance, privacy regulations (GDPR, CCPA), and performance optimization for large-scale customer data environments
- Bachelor's degree in Engineering with specialization in Computer Science, Data, IT or graduate from other fields with good communication and analytical skills
- Salesforce Certified Data Cloud Consultant
- Salesforce Certified Marketing Cloud Consultant
- Marketing Cloud Personalization Accredited Professional
- Salesforce Marketing Cloud Developer
- Salesforce Certified Administrator
- Salesforce Certified Agent force Specialist
Tech stack
Salesforce Data CloudMarketing Cloud Personalization (MCP)Open-Time Email (OTE)Interaction StudioJourney BuilderREST APISOAP APISQLPythonJavaScriptAWSGCPAzureCI/CDDevOpscontainerization