Salesforce Architect

Jay Analytix; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A data analytics company based in Toronto is seeking an experienced professional to design scalable data models using Salesforce and integrate data with cloud platforms. This role requires strong expertise in AWS cloud services and collaboration with data science teams. Candidates must have a minimum of 10 years of experience in the field, focusing on data integrity, governance, and compliance.

Qualifications

• Min 10+ years of experience required.
• Experience with AWS cloud is a must.

Responsibilities

• Design scalable high performing data models using Salesforce.
• Develop and manage data pipelines for ETL processes.
• Ensure data integrity and consistency using automation.
• Collaborate with data scientists for clean structured data.
• Implement CICD pipelines for data and model deployment.

Skills

Salesforce Lightning Web Components (LWC)

Salesforce Apex

Aura

Salesforce VisualForce

Salesforce Integration (Rest, Soap, Streaming APIs, Event)

Salesforce Data Architecture

Estimation

Integration Architecture

Business Process Design

Mapping

Enterprise Roadmap / Strategy

Salesforce Data Migration

Data Architecture

Job description

Min 10+ yr. exp required

Job Description:-

Design scalable high performing data models using Salesforce standard and custom objects

Implement data modeling strategies including Big Objects for handling large data volumes

Ensure data integrity and consistency using validation rules automation and sharing rules

Consolidate data across multiple Salesforce instances for unified views

Data Extraction Integration

Develop and manage data pipelines to extract transform and load ETL Salesforce data into AIML platforms

Integrate Salesforce data with cloud data lakes or warehouses eg AWS S3 Redshift

Ensure seamless data flow between Salesforce and external systems using APIs middleware or ETL tools

AIML DataOps Enablement

Collaborate with data scientists and ML engineers to provide clean structured and accessible data

Support MLOps pipelines by ensuring data availability versioning and lineage tracking

Automate data validation retraining triggers and rollback mechanisms for ML models

DevOps Cloud Infrastructure

Work with AWS services like EKS Lambda S3 RDS and EventBridge to support scalable ML operations

Implement CICD pipelines for data and model deployment using tools like GitHub Actions

Ensure infrastructure security using AWS Secrets Manager KMS and VPC configurations

Governance Compliance

Define and enforce data governance policies including access control data quality and compliance

Maintain documentation for data architecture workflows and ML infrastructure

Align data architecture with organizational goals and regulatory standards

AWS cloud experience is must

Skills

Mandatory Skills

• Salesforce Lightning Web Components (LWC)
• Salesforce Apex
• Aura
• Salesforce VisualForce
• Salesforce Integration (Rest, Soap, Streaming APIs, Event)
• Salesforce Data Architecture
• Estimation
• Integration Architecture
• Business Process Design
• Mapping
• Enterprise Roadmap / Strategy
• Salesforce Data Migration
• Data Architecture