1 day ago
Mumbai, India or Bengaluru, IndiaStaff+
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 and Marketing Cloud Personalization with MarTech platforms and other enterprise systems.
- Design and implement real-time personalization use cases, including audience activation, product recommendations, decisioning strategies, and behavioral targeting.
- Collaborate with business stakeholders, marketing, analytics, product, and engineering teams to translate requirements into scalable solutions.
- Guide development teams in building reusable components and automation scripts.
- Ensure data quality, performance optimization, privacy compliance, and effective consent management.
- Troubleshoot complex data and integration issues across platforms.
- Mentor junior engineers and contribute to technical standards and best practices.
- Support audience creation, segmentation, customer journey orchestration, and roadmap planning for Data Cloud adoption.
Requirements
- Bachelor's degree in Engineering, preferably with a specialization in Computer Science, Data, or IT; graduates from other fields with strong communication and analytical skills may also qualify.
- Hands-on implementation experience with Salesforce Data Cloud and Marketing Cloud Personalization, including architecture, configuration, and deployment.
- Experience with Open-Time Email campaigns, web and mobile personalization, product recommendations, decisioning strategies, audience segmentation, and behavioral targeting.
- Strong expertise in data ingestion, identity resolution, profile unification, audience segmentation, activation, and customer profile stitching.
- Experience with Interaction Studio, Salesforce Marketing Cloud, Journey Builder, and MCP-driven engagement strategies.
- Proficiency with REST and SOAP API integrations, 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 including GDPR and CCPA, and performance optimization for large-scale customer data environments.
- Preferred experience with Salesforce CRM, Service Cloud, Commerce Cloud, AWS, GCP, Azure, big data technologies, CI/CD pipelines, DevOps practices, containerization, and client-facing technical discussions.
- Preferred Salesforce certifications include Data Cloud Consultant, Marketing Cloud Consultant, Marketing Cloud Personalization Accredited Professional, Marketing Cloud Developer, Administrator, and Agentforce Specialist.
Benefits
- Permanent, full-time position.
- Location: Bengaluru.
- Shift timing: 12 PM–10 PM.
Tech Stack
Categories
Data Engineering
About Dentsu
Dentsu is a global advertising and marketing services group that plans and buys media, develops creative campaigns, and builds data- and technology-led customer experiences for brands. It earns revenue from agency fees and media services across a network that includes Carat, iProspect, and Merkle. Founded in 1901 and headquartered in Tokyo, Dentsu is publicly traded in Japan and serves clients across many sectors worldwide.