Job Description
Job Description
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