Salesforce Data Cloud MCP Engineer

Merkle; New Delhi; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Merkle is seeking a Senior Engineer - Salesforce Data Cloud to architect and deliver scalable data cloud solutions. You will drive ingestion, unification, and activation, integrating Data Cloud with MCP and other MarTech platforms for personalized experiences.

You will work closely with marketing, analytics, and engineering teams, mentoring juniors and shaping technical standards while ensuring data quality, privacy compliance, and performance optimization.

Qualifications

• Hands-on experience with Salesforce Data Cloud, including data ingestion, unification, and activation.
• Strong understanding of identity resolution, consent management, and customer profile stitching.
• Experience with Salesforce Marketing Cloud, MCP, Journey Builder, and Interaction Studio.
• Proficiency in API integrations (REST, SOAP) and data connectors.
• Strong skills in SQL, Python, or JavaScript for data manipulation and automation.
• Experience integrating Data Cloud with MarTech platforms (ESPs, CRMs, analytics tools).
• Familiarity with data governance, privacy regulations (GDPR, CCPA), and performance optimization.

Responsibilities

• 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.

Skills

Data Cloud

Identity resolution

Salesforce MCP

API integrations

SQL/Python/JS

MarTech integrations

Data governance/privacy

Education

Bachelors in Engineering (CS/Data/IT)

Other degree with communication & analytics

Tools

Salesforce Data Cloud

Salesforce Marketing Cloud

REST/SOAP APIs

Data connectors

CI/CD/DevOps

Job description

Job Description:

Job Description:

Experience- 4 to 6 years

Role - Senior Engineer -Salesforce Data Cloud (SFDC)

Job Description:

We are seeking a skilled and forward-thinking Technical Lead to architect and lead the delivery of solutions using Salesforce Data Cloud. This role is ideal for professionals who have hands-on experience with Data Cloud, and a strong foundation in Salesforce Marketing Cloud, including Marketing Cloud Personalization (MCP).
You will be responsible for designing scalable data architectures, managing ingestion and activation workflows, and integrating Data Cloud with other MarTech platforms to enable unified customer profiles and personalized experiences. The role requires close collaboration with cross-functional teams including marketing, analytics, and engineering.

Must have skills

• 1. Hands-on experience with Salesforce Data Cloud, including data ingestion, unification, and activation
• 2. Strong understanding of identity resolution, consent management, and customer profile stitching
• 3. Experience with Salesforce Marketing Cloud, especially MCP, Journey Builder, and Interaction Studio
• 4. Proficiency in API integrations (REST, SOAP) and data connectors
• 5. Strong skills in SQL, Python, or JavaScript for data manipulation and automation
• 6. Experience integrating Data Cloud with MarTech platforms (e.g., ESPs, CRMs, analytics tools)
• 7. Familiarity with data governance, privacy regulations (GDPR, CCPA), and performance optimization

Good to have skills

• 1. Experience with Salesforce CRM, Service Cloud, or Commerce Cloud
• 2. Knowledge of cloud platforms (AWS, GCP, Azure) and big data technologies
• 3. Experience with CI/CD pipelines, DevOps practices, and containerization
• 4. Client‑facing experience and ability to lead technical discussions with stakeholders
• 5. Familiarity with audience segmentation, journey orchestration, and personalization strategies

Key responsibiltes

• 1. Lead the technical design and implementation of Salesforce Data Cloud solutions
• 2. Architect data models and ingestion pipelines for unified customer profiles
• 3. Integrate Data Cloud with MCP and other MarTech platforms for activation and personalization
• 4. Collaborate with business stakeholders to translate requirements into scalable solutions
• 5. Guide development teams in building reusable components and automation scripts
• 6. Ensure data quality, performance optimization, and privacy compliance
• 7. Troubleshoot complex data and integration issues across platforms
• 8. Mentor junior engineers and contribute to technical standards and best practices
• 9. Support audience creation, segmentation, and journey orchestration workflows
• 10. Evaluate emerging technologies and contribute to roadmap planning for Data Cloud adoption

Education Qulification

Bachelors in Engineering with a specialisation in Computer Science, Data , IT

Graduate from other fields with good communication and analytical skills

Certification If Any

• 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

Shift timing

12 PM - 10 PM

Location:

DGS India - Mumbai - Goregaon Prism Tower

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent