Technical Lead - Salesforce Data Cloud and Marketing Cloud Personalization (MCP)

Merkle, Inc.

Bengaluru

On-site

INR 2,500,000 - 5,000,000

Full time

40 hours ago
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Job summary

Merkle Inc. is seeking a Technical Lead to architect and deliver customer engagement solutions using Salesforce Data Cloud and Marketing Cloud Personalization (MCP).

The role focuses on building unified customer profiles, real-time personalization, and data-driven campaigns across digital channels in Bengaluru. You will lead data ingestion, identity resolution, activation, and seamless integration with MarTech tools while guiding teams and ensuring data quality and privacy.

Qualifications

  • Experience with Salesforce Data Cloud and MCP integration.
  • Knowledge of cloud platforms and big data technologies.
  • Experience with data ingestion, identity resolution, and audience activation.
  • Client-facing capability to lead technical discussions with stakeholders.
  • Familiarity with audience segmentation and journey orchestration.

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

Salesforce Data Cloud
Marketing Cloud Personalization
Real-time personalization
Audience segmentation
Journeys orchestration
Stakeholder communication

Education

Bachelor's in Engineering (CS/IT)
Other field with strong communication

Tools

AWS
GCP
Azure
CI/CD pipelines
DevOps practices
Containerization (Docker/Kubernetes)

Job description

Technical Lead - Salesforce Data Cloud and Marketing Cloud Personalization (MCP)

We are seeking a skilled and forward-thinking Technical Lead to architect and deliver customer engagement solutions leveraging both Salesforce Data Cloud and Marketing Cloud Personalization (MCP). This role is ideal for professionals with deep expertise in creating unified customer profiles, real-time personalization strategies, and data-driven marketing experiences across digital channels. The successful candidate will lead the design of scalable data and personalization architectures, oversee data ingestion, identity resolution, audience activation, and real-time decisioning, while ensuring seamless integration between Data Cloud, MCP, and the broader MarTech ecosystem. This role requires close collaboration with marketing, analytics, product, and engineering teams to drive highly personalized customer experiences and measurable business outcomes.

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

12 PM - 10 PM

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