Senior Analyst

Role Overview
We are seeking a Salesforce Engineer to support an integrated SalesTech and MarTech team focused on delivering scalable, data-driven solutions on the Salesforce CRM platform. While the team operates across both sales and marketing domains, this role is primarily focused on Salesforce development technologies and engineering solutions that enable robust sales operations, lead management, and campaign execution. Experience with MarTech platforms is a plus.

• Key Responsibilities
• Design and implement Salesforce solutions that support SalesTech and MarTech use cases, including lead lifecycle management, lead routing, campaign attribution and tracking, and sales enablement.
• Configure and optimize Salesforce features such as Flows, Apex, LWC, Campaigns, and custom objects to automate and enhance integrated sales and marketing processes.
• Support integrations between Salesforce, Pardot, data platforms, and web platforms, ensuring accurate data flow and unified reporting across the sales and marketing funnel.
• Drive engineering solutions that support lead capture mechanisms (web forms), data pipelines, and real-time engagement tracking.
• Ensure data quality, governance, and visibility across systems to enable effective segmentation, personalization, and performance tracking.
• Contribute to the evolution of the SalesTech-MarTech architecture, ensuring scalability, maintainability, and alignment with enterprise standards.
• Participate in Agile ceremonies and collaborate with product owners to deliver high-impact features and continuous improvements.

Desired Experience & Skills

Strong understanding of SalesTech ecosystems, with a focus on CRM, lead management, campaign analytics, and sales enablement. Experience with Pardot or similar platforms (e.g., Marketing Cloud, HubSpot, Marketo) is desirable but not mandatory.
Apex Programming - Writing triggers, classes, batch jobs, and test classes.
Lightning Web Components (LWC)
Salesforce Flows & Process Builder
SOQL & SOSL - Querying Salesforce data effectively.
Salesforce Object Model - Understanding standard and custom objects, relationships, and schema design.
Custom Metadata & Settings - Managing configurable logic and reusable components.
Platform Events & Asynchronous Processing - Handling large data volumes and real-time integrations.
API Integration - REST/SOAP API development and consumption.
Security & Access Control - Profiles, roles, sharing rules, and field-level security.
Performance Optimization - Efficient code, query optimization, and governor limit management.