Salesforce Associate Architect

dentsu

Pune District

On-site

INR 2,400,000 - 4,800,000

Full time

14 days+

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Job summary

Merkle in Pune, India, is seeking a Salesforce Tech Lead / Associate Architect to drive solution design across Sales Cloud, Service Cloud, Data Cloud, and Agentforce. You will mentor engineers, govern architecture, and serve as the primary technical interface with clients, while leveraging Marketing Cloud knowledge for Data Cloud ingestion design.

The role emphasizes senior leadership with hands-on delivery across CRM platforms and data/AI layers, including integration, data governance, and

Qualifications

Lead solution design and delivery across Sales Cloud, Service Cloud, Data Cloud, and Agentforce workstreams.
Mentor engineers and act as primary technical escalation point.
Present architecture decisions and trade-offs to clients and stakeholders.

Responsibilities

Own solution architecture across CRM and data/AI layers.
Design end-to-end Sales Cloud and Service Cloud implementations, including CPQ and Einstein tooling.
Architect Data Cloud ingestion, identity resolution, and Customer 360 views.
Implement Agentforce use cases for sales, service, and marketing personalization.

Skills

Sales Cloud

Service Cloud

Data Cloud

Agentforce

Marketing Cloud

Einstein

CPQ

Experience Cloud

SQL

Power BI

Tableau

Tools

Power BI

Tableau

SQL

Job description

Job Description:

JOB DESCRIPTION

Salesforce Tech Lead / Salesforce Associate Architect

Salesforce Practice | Sales Cloud · Service Cloud · Data Cloud · Agentforce

1. Role Summary

Title

Salesforce Tech Lead / Salesforce Associate Architect

Primary Domain

Sales Cloud · Service Cloud · Data Cloud · Agentforce

Level

Senior Individual Contributor with Team Lead Responsibilities

Reporting To

Salesforce Practice Head / Engagement Delivery Manager

A senior Salesforce generalist-specialist who leads solution design and delivery across the core CRM platform and the data and AI layer. Sales Cloud and Service Cloud form the CRM backbone of every engagement. Data Cloud and Agentforce extend those foundations with unified customer intelligence and AI-powered automation. The role carries team lead accountability — governing architecture, mentoring engineers, and serving as the primary technical interface with clients. Marketing Cloud knowledge is a valued complement, particularly for Data Cloud ingestion design.

2. Key Skills

Required Skill

Sales Cloud

Lead-to-Opportunity lifecycle, pipeline management, forecasting & territory models
CPQ fundamentals, Product Catalogue, Pricebook design & Approval Processes
Einstein Activity Capture, Sales Engagement, and rep productivity tooling
Account & Contact hierarchies, Duplicate Management, and data quality governance

REQUIRED

Service Cloud

Case management, Entitlements, SLA / Milestones, and Escalation Rules
Omni-Channel routing, Skills-based assignment, and Agent Workspace configuration
Knowledge Base architecture, article lifecycle, and self-service portal (Experience Cloud)
Field Service Lightning fundamentals and CTI integration awareness

REQUIRED

Data Cloud

Data Streams, DMO design, field mapping & standard schema governance
Identity Resolution — match rules, reconciliation rules, merge & unlink strategies
Calculated Insights, Streaming Insights, Segmentation & Activation
Customer 360 profile assembly; surfacing unified data to Sales & Service reps
Data reconciliation controls, job monitoring, retention & governance

REQUIRED

Agentforce

Topics, Actions, Instructions & Prompt Templates in Agent Builder
Grounding agents with Data Cloud unified profile via RAG patterns
Einstein Trust Layer — data masking, zero-retention & audit trail
Use case design: Sales assist, Service resolution, personalised outreach

REQUIRED

MUST-HAVE

Marketing Cloud

Marketing Cloud Connector for Data Cloud: Contact, Subscriber & engagement event ingestion
Journey Builder, Email Studio & Automation Studio working knowledge
Consent & suppression propagation; closed-loop activation back into Data Cloud

DESIRED

Data Architecture & BI Integration

Batch ETL, CDC, event streaming & API ingestion — pattern selection per source
SQL for Calculated Insights, ad hoc validation & reconciliation queries
Power BI / Tableau connector patterns from Data Cloud; report-ready entity design

REQUIRED

3. Key Responsibilities

Technical Leadership & Solution Design

Own solution architecture across Sales Cloud, Service Cloud, Data Cloud, and Agentforce workstreams — producing SDDs, data flow diagrams, and integration design documents.
Lead, mentor, and review the work of a Salesforce engineering team; act as the primary technical escalation point across all platform layers.
Present architecture decisions and trade-offs confidently to client stakeholders, business owners, and enterprise architects.

Sales Cloud & Service Cloud Delivery

Design and deliver end-to-end Sales Cloud solutions — lead management, opportunity lifecycle, forecasting, CPQ, and Einstein-assisted productivity tooling.
Architect Service Cloud solutions covering case management, Omni-Channel routing, Knowledge, and self-service portals; ensure seamless hand-off between sales and service processes.
Govern data quality, duplicate management, and object model integrity across the CRM platform.

Data Cloud — Ingestion, Identity & Activation

Design multi-source ingestion pipelines and DMO structures; architect Identity Resolution to produce a trusted Unified Individual Profile and Customer 360 view.
Build Calculated Insights and Segments that drive activation across marketing and service channels; surface Customer 360 to Sales and Service reps via embedded components and CRM Analytics.
Establish source-to-target reconciliation controls, data quality alerts, and retention policies; integrate Data Cloud data with Power BI / Tableau for enterprise reporting.

Agentforce Implementation

Architect and build Data Cloud-grounded Agentforce agents for Sales assist, Service resolution, and Marketing personalisation use cases.
Configure Trust Layer guardrails and RAG retrieval strategies; define autonomous vs. assistive automation boundaries per use case.

Marketing Cloud Integration (Desired)

Design Marketing Cloud as a Data Cloud source system — governing connector configuration, engagement event ingestion, and closed-loop activation back into Journey Builder.

4. Certifications