Sr Software Engineer

Dentsu Webchutney

Mumbai, New Delhi, Bengaluru

On-site

INR 3,000,000 - 5,400,000

Full time

2 days ago

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Job summary

Merkle is seeking a Senior Software Engineer to architect and lead Salesforce Data Cloud solutions in Mumbai. You will drive ingestion, unification, and activation workflows, integrating Data Cloud with MCP and other MarTech platforms to enable unified customer profiles and personalized experiences.

You should bring hands-on Data Cloud experience, strong SQL/Python/JS skills, and a solid grasp of privacy regulations.

Qualifications

Hands-on experience with Salesforce Data Cloud ingestion, unification and activation.
Strong identity resolution and profile stitching capabilities.
Experience with Salesforce Marketing Cloud MCP, Journey Builder and Interaction Studio.
Proficiency with API integrations (REST/SOAP) and data connectors.
Strong SQL, Python or JavaScript for data manipulation.
Experience integrating Data Cloud with MarTech platforms and governance.
Familiarity with GDPR/CCPA and privacy-compliance requirements.

Responsibilities

Lead the design and delivery of Salesforce Data Cloud solutions.
Architect data models and ingestion pipelines for unified customer profiles.
Integrate Data Cloud with MCP and MarTech platforms for activation and personalization.
Collaborate with stakeholders to translate requirements into scalable solutions.
Mentor engineers and promote best practices in data engineering.
Ensure data quality, performance, and privacy compliance across systems.
Support audience creation, segmentation and journey orchestration workflows.
Evaluate new technologies and contribute to the Data Cloud roadmap.

Skills

Salesforce Data Cloud

Identity resolution

Consent management

Profile stitching

Marketing Cloud MCP

Journey Builder

Interaction Studio

REST APIs

SOAP APIs

SQL

Python

JavaScript

Data connectors

Data governance

Privacy regulations

Education

Bachelors in Engineering (CS/IT/Data)

Tools

Salesforce CRM

Service Cloud

Commerce Cloud

AWS

GCP

Azure

CI/CD

Docker

Job description

Senior Software Engineer

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

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, especially 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 (eg, ESPs, CRMs, analytics tools)
Familiarity with data governance, privacy regulations (GDPR, CCPA), and performance optimization

Good to have skills

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

Key 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 scriptsEnsure 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

Education Qualification

Bachelors in Engineering with a specialisation in Computer Science, Data , IT Graduate from other fields with good communication and analytical skills

Certification If Any