Martin Souhami

Key Responsibilities:

1. Environment Setup and Configuration:

• Set up and customize Salesforce environments (e.g., Sandbox, Development, Testing, Production) based on best practices and business needs.
• Configure Salesforce objects, fields, page layouts, workflows, process builder, and automation rules to streamline business processes.

2. User Access Management:

• Administer user roles, profiles, permission sets, and sharing rules to control access to Salesforce data and functionality.
• Define and enforce security policies, ensuring appropriate levels of access based on job roles and responsibilities.
• Conduct regular audits of user permissions to ensure compliance with organizational policies and regulatory requirements.

3. Release Management and Continuous Improvement:

• Plan and execute deployments using Salesforce change sets, Salesforce DX, or other deployment tools.
• Create deployment pipelines in Azure DevOps to automate deployment processes, including testing and validation stages.
• Implement version control and Git merge strategies (e.g., feature branching, pull requests) for Salesforce code and configuration changes.
• Stay current with Salesforce releases, features, and industry trends to recommend and implement enhancements.
• Collaborate with cross-functional teams (e.g. Sales, Marketing) to integrate Salesforce with other systems and tools as needed.

Key Responsibilities:

1. ETL Development with SSIS:

• Design, develop, and maintain ETL processes using SQL Server Integration Services (SSIS) to extract, transform, and load data from various sources into the target systems.
• Implement data quality checks and error handling mechanisms within SSIS packages to ensure data integrity and reliability.

2. BI Solutions and Data Modeling:

• Gain a general understanding of Business Intelligence (BI) solutions to support the integration of data into BI platforms. Assist Enterprise Data Management (EDM) leads in ensuring the correct usage of EDM architecture across enterprise applications.
• Apply knowledge of data modeling principles to review and validate data designs, identifying and addressing potential issues early in the process.

3. Customer Interaction and Collaboration:

• Participate in calls and meetings with customers to gather integration requirements, understand business needs, and provide technical guidance.
• Communicate effectively with stakeholders to explain technical concepts, present solutions, and address concerns related to data integration and ETL processes.
• Provide testing support to ensure the reliability and performance of ETL processes, troubleshooting issues as they arise.