Salesforce Associate Architect
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What you'll do
- 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.
- 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.
- 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.
- 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.
- Design Marketing Cloud as a Data Cloud source system — governing connector configuration, engagement event ingestion, and closed-loop activation back into Journey Builder.
What they're looking for
- 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
- 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
- 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
- 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
- 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
- Sales Cloud Consultant Certification
- Service Cloud Consultant Certification
- Data Cloud Consultant Certification
- Salesforce Data Architect Certification
- Agentforce Specialist Certification
Nice to 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
- Salesforce AI Associate Certification
- Marketing Cloud Consultant Certification
- CRM Analytics & Einstein Certification
- Tableau Desktop Specialist Certification
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
■ Must-Have Skill
■ Desired 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
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
Certifications marked ★ are considered essential for this role; others are advantageous.
★ Sales Cloud Consultant
★ Service Cloud Consultant
★ Data Cloud Consultant
★ Salesforce Data Architect
★ Agentforce Specialist
Salesforce AI Associate
Marketing Cloud Consultant
CRM Analytics & Einstein
Tableau Desktop Specialist
This document is confidential and intended for internal recruitment use only.
Location:
DGS India - Pune - Indiqube OrchidBrand:
MerkleTime Type:
Full timeContract Type:
PermanentCompany
Company facts come from this company's own listings. We only show what the postings themselves carry.