Software Engineer
Job Description: JOB DESCRIPTION Salesforce Tech Lead / Salesforce Associate Architect Salesforce Practice | Sales Cloud · Service Cloud · Data Cloud · Agentforce 1.
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
Posted July 24, 2026