Technical Lead - SFMC

AI overview

Lead the design and implementation of SFMC solutions, overseeing integration and providing technical guidance while managing a team for high-quality delivery.

Technical Lead - SFMC

Roles and Responsibilities

Technical Leadership:

  1. Lead the design, development, and implementation of Salesforce Marketing Cloud (SFMC) solutions, including but not limited to Email Studio, Automation Studio, Journey Builder, and Content Builder.
  2. Oversee the integration of SFMC with Salesforce CRM and other third-party platforms to ensure seamless data flow and functionality.
  3. Provide technical guidance to developers and consultants on best practices, coding standards, and solution design.

Solution Design & Development:

  1. Analyze business requirements and translate them into scalable SFMC solutions.
  2. Develop advanced SSJS, AMPscript, SQL queries, and API integrations to customize SFMC for client-specific needs.
  3. Build and optimize automations, journeys, and triggered sends for personalized customer engagement.

Team Management & Collaboration:

  1. Manage and mentor a team of developers, ensuring the delivery of high-quality solutions within timelines.
  2. Collaborate with cross-functional teams to align SFMC strategies with organizational goals.
  3. Act as a point of escalation for troubleshooting and resolving technical challenges.

Strategic Planning & Implementation:

  1. Architect end-to-end campaign solutions, ensuring alignment with business objectives and customer journey strategies.
  2. Evaluate and implement new SFMC features and updates to maximize the platform's capabilities.
  3. Provide strategic recommendations for improving customer engagement and optimizing marketing campaigns.

Key Qualifications:

      7+ years of hands-on experience with Salesforce Marketing Cloud.

      Strong expertise in SSJS, AMPscript, SQL, and REST/SOAP API integrations.

      Proven experience in leading teams and managing projects.

      Solid understanding of customer data models, segmentation, and personalization.

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