SFMC Developer

Job Description




The Senior Engineer is responsible for the administration, support, security, and continuous improvement of Salesforce applications in compliance with established policies and business requirements. This role is accountable for assessing and resolving reported incidents and service requests, performing root cause analysis, identifying preventive actions to reduce recurring tickets, and ensuring the Salesforce platform remains stable, secure, and fit for purpose. The role also supports change delivery, release readiness, data quality, user enablement, and AI-enabled operational practices across platform operations, release governance, and security compliance.

Job Responsibilities








Platform Administration, Support & Operations
· Assess, triage, and resolve reported incidents, service requests, and user issues within agreed service levels.
· Perform root cause analysis for incidents and repeated service requests, and recommend and implement corrective and preventive actions to avoid recurrence of similar tickets.
· Fulfil service requests such as report generation, dashboard updates, data extraction, data patching, bulk updates, user provisioning, and permission changes.
· Administer Salesforce environments including user and license management, profiles, permission sets, role hierarchy, queues, public groups, sandbox provisioning, and configuration changes.
· Monitor platform health, data quality, integrations, job failures, system usage trends, and the clean-up of unused fields, reports, and dashboards; proactively identify areas for improvement.




Security, Compliance & Governance
· Maintain and enforce Salesforce security controls including access management, field- and object-level security, sharing settings, audit readiness, and data protection requirements.
· Conduct regular reviews and audits to ensure data accuracy, system compliance, and adherence to internal policies, controls, and secure administration practices.
· Support release governance, change control, and segregation-of-duties requirements across production and non-production environments.
· Document configurations, standard operating procedures, known errors, risk items, and remediation actions, ensuring all changes are properly tracked and auditable.




Configuration, Enhancements & Delivery
· Configure and maintain Salesforce capabilities including flows, validation rules, approval processes, page layouts, dynamic forms, reports, dashboards, and other declarative features following platform best practices.
· Partner with business stakeholders, developers, architects, and support teams to translate requirements into scalable admin-led solutions and operational improvements.
· Participate in project planning, testing, deployment preparation, release validation, and post-implementation support for new initiatives and enhancements.
· Support the migration and optimisation of legacy automation such as Process Builders and Workflow Rules into Flows where applicable.




AI-enabled Platform Operations
· Support the organisation’s adoption of AI-enabled ways of working through strong Salesforce administration practices, including accurate configuration management, metadata governance, and high-quality operational documentation.
· Partner with relevant teams to improve platform monitoring, ticket analysis, knowledge management, release quality, and security compliance.
· Ensure the responsible use of AI-assisted tools in line with organisational policies and standards relating to security, privacy, and data handling.
· Recommend practical use cases for AI-assisted support and administration to enhance productivity, consistency, and service quality within approved governance boundaries.

Job Requirements

Core Experience

· Minimum 4-6 years of hands-on experience in Salesforce administration, preferably in Sales Cloud and Service Cloud within an enterprise environment.
· Proven experience in incident management, service request fulfilment, production support, and problem management/root cause analysis.
· Strong understanding of Salesforce architecture, data model, security model, sharing model, and administration best practices.
· Hands-on experience in configuring declarative solutions including Flows, approval processes, validation rules, reports, dashboards, and access controls.
· Experience supporting release and change management processes across multiple Salesforce environments.
· Minimum 1-2 years of exposure to Salesforce Marketing Cloud (SFMC) with basic knowledge of Contact Builder, Data Extensions, Journey Builder, Email Studio, subscriber management, and SFMC administration.
· Ability to support basic SFMC operational activities, user administration, data troubleshooting, and CRM-SFMC integration-related investigations.
Technical & Function Skills
· Strong analytical and troubleshooting skills, with the ability to investigate complex issues across configuration, data, integrations, and user access.
· Working knowledge of Salesforce Lightning Experience and core platform features relevant to administration and support.
· Practical understanding of Salesforce integrations, API-based interfaces, and common data migration or data loader tools.
· Knowledge of Salesforce security concepts, audit requirements, platform controls, and secure administration practices.
· Familiarity with reporting, dashboards, data hygiene, duplicate management, archival considerations, and operational monitoring.
· Knowledge of release tooling and DevOps practices such as SFDX, version control, and CI/CD tools such as AutoRABIT or Copado is an advantage.
· Experience with Apex, Lightning components, or API troubleshooting will be an advantage when working with developers and resolving cross-functional issues.
· Experience with MuleSoft or other middleware or integration platforms is an advantage.
Essential Skills for AI-Enabled Operations
· Strong metadata, documentation, and knowledge management discipline to support AI-assisted administration and support.
· Ability to identify ticket patterns, improve categorisation, and strengthen operational knowledge for automation and triage.
· Awareness of enterprise AI governance, including security, privacy, prompt safety, and appropriate data handling.
· Understanding of auditability, traceability, and secure change practices to support compliant AI-assisted operations.