4 months ago
Pune, IndiaStaff+
Responsibilities
- Own solution architecture across Sales Cloud, Service Cloud, Data Cloud, and Agentforce, including solution design documents, data-flow diagrams, and integration designs.
- Lead, mentor, and review a Salesforce engineering team and act as the primary technical escalation point across platform layers.
- Present architecture decisions and trade-offs to clients, business owners, and enterprise architects.
- Design and deliver Sales Cloud solutions covering lead management, opportunity lifecycle, forecasting, CPQ, and Einstein-assisted productivity tooling.
- Architect Service Cloud solutions for case management, Omni-Channel routing, Knowledge, self-service portals, and sales-to-service handoffs.
- Govern CRM data quality, duplicate management, object-model integrity, reconciliation controls, alerts, retention policies, and data governance.
- Design multi-source Data Cloud ingestion pipelines, DMO structures, Identity Resolution, unified profiles, Customer 360 views, Calculated Insights, Segments, and activation workflows.
- Integrate Data Cloud with Power BI, Tableau, CRM Analytics, and embedded CRM experiences for enterprise reporting and sales and service users.
- Implement Data Cloud-grounded Agentforce agents for sales assistance, service resolution, and marketing personalization use cases.
- Configure Einstein Trust Layer guardrails and RAG retrieval strategies and define autonomous versus assistive automation boundaries.
- Design Marketing Cloud connector configurations, engagement-event ingestion, and closed-loop activation into Journey Builder.
Requirements
- Demonstrated senior-level Salesforce architecture and delivery experience across Sales Cloud, Service Cloud, Data Cloud, and Agentforce.
- Expertise in Sales Cloud capabilities including lead-to-opportunity lifecycle, forecasting, territory models, CPQ, Product Catalogue, Pricebook design, approval processes, and Einstein productivity tooling.
- Expertise in Service Cloud capabilities including case management, entitlements, SLAs, milestones, escalation rules, Omni-Channel, Knowledge, Experience Cloud, and self-service portals.
- Strong Data Cloud experience with Data Streams, DMO design, field mapping, schema governance, Identity Resolution, Calculated Insights, Segmentation, Activation, retention, and data reconciliation.
- Experience designing batch ETL, CDC, event-streaming, and API-ingestion patterns and writing SQL for Calculated Insights and validation queries.
- Experience architecting Agentforce topics, actions, instructions, prompt templates, Data Cloud grounding, RAG patterns, and Einstein Trust Layer controls.
- Ability to lead and mentor Salesforce engineers and communicate architecture trade-offs to clients and enterprise stakeholders.
- Working knowledge of Marketing Cloud Connector, Journey Builder, Email Studio, Automation Studio, consent and suppression propagation, and closed-loop activation is desired.
- Experience with Power BI, Tableau, CRM Analytics, and enterprise reporting integration patterns.
- Essential certifications: Sales Cloud Consultant, Service Cloud Consultant, Data Cloud Consultant, Salesforce Data Architect, and Agentforce Specialist; Salesforce AI Associate, Marketing Cloud Consultant, CRM Analytics & Einstein, and Tableau Desktop Specialist are advantageous.
Benefits
- Full-time permanent position located in Pune, India, at DGS India - Pune - Indiqube Orchid; Merkle brand.
Tech Stack
Categories
Solutions 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.