Salesforce Technical Architect

Metalight Solutions Inc

Atlanta, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Remote

Atlanta, United States of America

Tech stack

API

Artificial Intelligence

Azure

Cloud Computing

Cloud Database

Continuous Integration

Customer Data Management

Data Deduplication

Web Scraping

ETL

Data Normalization

Dataspaces

DevOps

Github

Cloud Services

Salesforce

Data Streaming

Systems Integration

Apex Code

Chatbots

Data Ingestion

Retrieval-Augmented Generation

Multi-Agent Systems

GIT

Salesforce Sales Cloud

Bots

User Identification

Job description

Salesforce Lead Engineer (Data Cloud, Agentforce)
Salesforce Platform Architect (Customer Data / AI)
Salesforce Conversational AI Architect
Salesforce Marketing Cloud / Data Cloud Architect (if hands-on)

Be careful with:

Salesforce Architect who are only governance or pre-sales

Data Cloud (Critical)

Salesforce Data Cloud
Customer Data Platform (CDP)
Data Model Objects (DMO)
Salesforce Data Cloud (SFDC)
Identity Resolution
Data Streams
Calculated Insights
Segmentation
Data Activation
Unification
Profile Merge Rules
Data Spaces
Consent / PII governance
Web Scrapping
Data Chunking

Agentforce / AI / Bots

Agentforce
Einstein Bots
Prompt Builder
RAG (Retrieval Augmented Generation)
Grounding prompts in Salesforce data
AI Orchestration
Human-in-the-loop
Confidence thresholds
AI guardrails

Data Ingestion / Pipelines / Web Data

API ingestion
Streaming data
Batch ingestion
ETL / ELT
Web scraping
Data normalization
Deduplication
External data sources
Event-based ingestion

Salesforce Platform (Must also be strong here)

Apex
Async Apex (Queueable, Batch)
Flows (orchestration)
LWC
Named Credentials
REST integrations
Bulk-safe patterns
Governor limits

CI/CD & Environments

Salesforce DX
Git
DevOps Center / Azure DevOps / GitHub Actions
Scratch orgs
Multi-env pipelines

REQUIRED Real-World Experience

Candidate must have:

Built Data Cloud in production (not just enabled it)
Designed identity resolution & unification
Used Data Cloud data in Flows, Apex, or AI
Built Agentforce or Einstein Bot systems
Integrated external data sources into Salesforce
Designed public or high-volume systems

Requirements

Description: Need skilled Salesforce (Sales/Service Cloud) resources with strong experience in Agentforce and Omnichannel, preferably with Data Cloud expertise.

Skills Required:
Salesforce Sales Cloud
Salesforce Service Cloud
Agentforce
Omnichannel
Data Cloud (Must Have)
Candidate should have proven experience in Salesforce ecosystem and integrations. Must be strong individual contributor