: Salesforce Tech Lead / Salesforce Associate ArchitectPractice: Salesforce Practice (Sales Cloud · Service Cloud · Data Cloud · Agentforce)

Role Level: Senior Individual Contributor with Team Lead Responsibilities

Reporting To: Salesforce Practice Head / Engagement Delivery Manager

Role SummaryWe are seeking a senior Salesforce Tech Lead / Associate Architect to lead solution design and delivery across our core CRM platform and data/AI architecture.

In this role, Sales Cloud and Service Cloud serve as the foundational CRM backbone, while Data Cloud and Agentforce extend these capabilities with unified customer intelligence and AI-powered automation. You will hold team lead accountability—governing technical architecture, mentoring engineers, and serving as the primary technical interface for clients and enterprise stakeholders.

Key Skills &

• Qualifications

- Sales Cloud (Required): Lead-to-Opportunity lifecycle, pipeline management, forecasting, territory models, CPQ fundamentals, Product Catalogue, Pricebook design, Approval Processes, Einstein Activity Capture, Sales Engagement, rep productivity tools, Account & • Contact hierarchies, and Duplicate Management.

- Service Cloud (Required): Case management, Entitlements, SLAs/Milestones, Escalation Rules, Omni-Channel routing, Skills-based assignment, Agent Workspace configuration, Knowledge Base architecture, self-service portals (Experience Cloud), Field Service Lightning fundamentals, and CTI integration awareness.
- Data Cloud (Required): Data Streams, DMO design, field mapping, standard schema governance, Identity Resolution (match/reconciliation rules, merge & unlink strategies), Calculated Insights, Streaming Insights, Segmentation, Activation, Customer 360 profile assembly,



and data reconciliation controls.
- Agentforce (Must-Have): Topics, Actions, Instructions, Prompt Templates in Agent Builder, grounding agents with Data Cloud unified profiles via RAG patterns, Einstein Trust Layer (data masking, zero-retention, audit trail), and use case design across Sales assist, Service resolution, and personalized outreach.
- Data Architecture & • BI Integration (Required):

Batch ETL, CDC, event streaming, API ingestion pattern selection, SQL for Calculated Insights and ad-hoc validation, Power BI / Tableau connector patterns, and report-ready entity design.
- Marketing Cloud (Desired / Nice-to-Have): Marketing Cloud Connector for Data Cloud, engagement event ingestion, Journey Builder, Email Studio, Automation Studio, consent/suppression propagation, and closed-loop activation.

Key ResponsibilitiesTechnical Leadership & • Solution Design
- Own the end-to-end solution architecture across Sales Cloud, Service Cloud, Data Cloud, and Agentforce workstreams—authoring System Design Documents (SDDs), data flow diagrams, and integration specifications.
- Lead, mentor, and code-review a team of Salesforce engineers; serve as the primary technical escalation point across all platform layers.
- Confidently present architectural decisions, trade-offs, and roadmaps to client stakeholders, business owners, and enterprise architects.





Core CRM Delivery (Sales Cloud & • Service Cloud)
- Design and deliver end-to-end Sales Cloud features, CPQ workflows, and Einstein-assisted productivity tooling.
- Architect Service Cloud solutions spanning case management, Omni-Channel routing, Knowledge Base, and Experience Cloud portals; ensure seamless hand-offs between Sales and Service processes.
- Govern data quality, duplicate management, and object model integrity across the Salesforce org.

Data Cloud — Ingestion, Identity & • Activation
- Design multi-source ingestion pipelines and DMO structures; architect Identity Resolution rules to maintain a trusted Unified Individual Profile.
- Build Calculated Insights and Segments to drive cross-channel activation; surface Customer 360 profiles to front-line reps via embedded CRM components and CRM Analytics.
- Establish source-to-target data reconciliation controls, alert systems, retention policies, and downstream BI integrations (Power BI / Tableau).

Agentforce & • AI Implementation
- Architect and deploy Data Cloud-grounded Agentforce agents for Sales assist, Service resolution, and Marketing personalization.
- Configure Einstein Trust Layer guardrails and RAG retrieval strategies; establish transparent boundaries between autonomous AI actions and human-assisted automation.

CertificationsEssential (Required):
- ★ Sales Cloud Consultant
- ★ Service Cloud Consultant
- ★ Data Cloud Consultant
- ★ Salesforce Data Architect
- ★ Agentforce Specialist

Advantageous (Optional / Desired):
- Salesforce AI Associate
- Marketing Cloud Consultant
- CRM Analytics & • Einstein Consultant

- Tableau Desktop Specialist

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📌 Salesforce Tech Lead / Salesforce Associate Architect (Noida)
🏢 Devkraft
📍 Noida