Salesforce Marketing Cloud & Data Cloud

Job Description

Job Description

Job Description:

12 years in marketing technology, hands on experience with Salesforce Marketing Cloud Engagement & Data Cloud, and related technical roles

We are looking for a MarTech Engineer to own and scale our Salesforce Marketing Cloud (SFMC) and Salesforce, Data Cloud implementation across a multi-brand, multi-business-unit environment. This is a hands-on, technical role responsible for journey architecture, data integration, and platform governance, working closely with CRM, marketing, and data engineering teams to deliver reliable, well-instrumented customer engagement programs. As AI becomes a core part of our marketing technology stack, this role will also help evaluate and adopt AI-driven tools and workflows that improve personalization, efficiency, and decision-making across the platform.

Key Responsibilities
• Design, build, and maintain customer journeys, automations, and data extensions in Salesforce Marketing
Cloud (Journey Builder, Automation Studio, Content Builder) across multiple business units.
• Develop and manage Data Cloud data streams, identity resolution, calculated insights, and segment activation
into SFMC and downstream systems.
• Develop and maintain AMPscript, SSJS, and SQL logic for personalization, data transformation, and
automation activities.
• Own integration architecture between CRM (Salesforce Sales/Service Cloud), Data Cloud, SFMC, and
web/commerce platforms, ensuring clean data flow and attribution.
• Lead platform governance for multi-BU environments — sender authentication, IP/domain strategy,
subscriber and data model design, and access controls.
• Drive email deliverability practices, including SPF/DKIM/DMARC configuration, IP warming, bounce and
complaint management, and monitoring for inbox placement issues.
• Troubleshoot and resolve production issues across the marketing data pipeline (CRM → Data Cloud →
SFMC), including data quality, sync failures, and journey entry/exit logic.
• Partner with marketing, CRM, and analytics teams to translate campaign and lifecycle requirements into
scalable technical solutions.
• Support UAT, hypercare, and go-live activities for new brand/BU onboarding and platform migrations.
• Document data flows, and operational runbooks; mentor junior engineers and support knowledge transfer.
• Evaluate and pilot AI-powered capabilities within the marketing technology stack (e.g., Salesforce

Einstein/Agentforce, AI-assisted content and journey optimization, AI-enabled analytics) and help drive their
adoption where they add measurable value.
• Use AI tools and assistants (e.g., Claude, Copilot, or similar) to accelerate development, debugging,
documentation, and data analysis within marketing technology workflows.

Core Skills – Marketing Cloud
• Strong hands-on experience with Salesforce Marketing Cloud (Email Studio Journey Builder).
• Advanced AMPscript.
• Strong SSJS (Server-Side JavaScript) for CloudPages & data handling.
• Experience building Custom Preference Centers.
• Strong knowledge of Data Extensions, Contact Builder, Data Model.
• SQL proficiency (segmentation, automation queries).

Core Skills – Data Cloud
• Familiarity with Salesforce Data Cloud segments activating into SFMC.
• Understanding of identity resolution & consent-aware segmentation concepts.
• Able to troubleshoot CRM → Data Cloud → SFMC data flow.

Core Skills – CRM
• Understanding of Salesforce CRM integration with SFMC.
• Consent Management in Salesforce CRM.
• Experience syncing data via Marketing Cloud Connect.

Core Skills – AI & Emerging Marketing Technology
• Practical experience using AI tools (e.g., Claude, Copilot, or similar) in a marketing technology or
engineering workflow — for code, content, data analysis, or documentation.
• Understanding of Salesforce MCP (Model Context Protocol) servers and how AI agents/tools connect to
Salesforce data and systems.
• Awareness of Salesforce's AI capabilities (e.g., Einstein, Agentforce, Data Cloud AI features) and how they
apply to marketing use cases.
• Comfort experimenting with and evaluating new AI-driven tools, and translating them into practical
improvements for marketing operations.

Additional Skills & Experience
• Experience with SFMC Enterprise 2.0 architecture and multi-Business Unit environments.
• Practical knowledge of email deliverability fundamentals: SPF, DKIM, DMARC, IP warming,
bounce/complaint handling, and sender reputation management.
• Experience with API-based integrations (REST/SOAP) and middleware/ETL tools (e.g., MuleSoft, Fivetran,
or similar).
• Familiarity with marketing/CRM analytics and attribution reporting (e.g., GA4, Redshift, or similar data
warehouse environments).
• Strong debugging and root-cause analysis skills across complex, multi-system data pipelines.
• Excellent communication skills, with the ability to work across engineering, marketing, and business
stakeholders.

Must Have

•Salesforce Marketing Cloud and/or Data Cloud certifications.
• Experience supporting large-scale platform migrations (e.g., legacy ESP to SFMC) across multiple brands.
• Exposure to Power BI, Tableau, or similar BI tools for cross-platform reporting.
• Experience operating in an operational support / hypercare model, including incident triage and stakeholder
communication.
• Hands-on experience applying AI/LLM tools to martech use cases — e.g., AI-assisted segmentation, content
generation, journey QA, or campaign performance analysis.
• Experience working with Salesforce MCP servers or similar AI-agent integration patterns connecting AI tools
to CRM/marketing data.
• Familiarity with prompt engineering or AI workflow design in a business/technical context.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical
experience.
• 5 years in marketing technology, hands on experience with Salesforce Marketing Cloud Engagement & Data
Cloud, and related technical roles.