Senior Soloution Archtect - Marketing Cloud & Data 360

What You'll Be Doing & Why It Matters

We are seeking a Senior Solution Architect specialising in Marketing Cloud and Data 360. You will be a leader in customer engagement and data architecture.

You will act as a strategic advisor to our largest, most complex enterprise customers. You will guide them through transformation programmes that unify, govern and activate customer data across channels. These programmes support Agentforce and AI-driven personalisation.

You will partner with C-level and senior business and IT leaders to turn complex business goals into clear, scalable technology roadmaps.

You will guide delivery teams through integration, governance, and architectural health checks, and mentor mid-level architects along the way.

Core Responsibilities & Scope

• Provide solution/technical direction and performance leadership.
• Drive the evolution of an AI-first delivery and engineering methodology within the team.
• Serve as a trusted advisor to client leadership. Guide customers and colleagues in rationalising and deploying emerging technologies and enterprise AI architecture that increase business value.
• Act as the primary authority on Marketing Cloud and Data 360, including how data and engagement architecture drive the success of Agentforce and AI-driven personalisation.
• Lead functional and technical workshops. Own the design, delivery, testing and deployment of complex marketing and data solutions.
• Establish trust with customer executives. Promote and implement Salesforce best practices.
• Manage customer expectations. Negotiate solutions to complex problems with customers and third-party stakeholders.
• Proactively identify and manage risk on high-profile engagements. Commit to seeing issues through to resolution.
• Review and correct programme direction, approach and key artefacts (blueprints, FSDs, data models, journey and flow designs) to keep programmes on track and scalable.
• Design enterprise engagement architecture across Journey Builder, Email Studio, Automation Studio and Content Builder. Include channel strategy and journey orchestration.
• Define data governance, consent management and preference architecture. Ensure compliance with GDPR, CAN-SPAM, CASL and other privacy regulations.
• Set integration, environment and coding standards (SQL, SSJS, AMPscript). Lead code and design reviews.
• Architect the Data 360 implementation: data stream ingestion, unified profile and identity resolution, segmentation, and activation to Marketing Cloud.
• Define end-to-end data lineage: profiling, cleansing, transformation mapping and reconciliation.

Minimum Requirements

• Extensive experience leading Salesforce technical consulting projects, with significant people management experience.
• Strong application design skills combined with strong data, integration and security architecture skills.
• Proven delivery of large-scale Marketing Cloud and Data 360 programmes. Experience with high-volume data (10M+ records) is desirable.
• Ability to document solutions clearly: data flows, flowcharts and technical artefacts.
• Ability to translate business requirements into technical solutions and map business processes to the Salesforce product suite.
• Strong interpersonal, written and verbal communication skills. Able to influence C-level stakeholders and build productive relationships.
• Willingness to travel to client sites as required.
• Ability to learn new skills, ways of working and technologies in a rapidly changing environment.

Preferred Qualifications

• 6+ years of Marketing Cloud experience and 2+ years of Data 360 experience, including advanced unified profile and activation design.
• 6+ years in marketing technology architecture, CRM platform engineering, or enterprise solution consulting.
• Certifications: Marketing Cloud Consultant, Marketing Cloud Developer, Data 360 Consultant, Marketing Cloud Email Specialist, Marketing Cloud Administrator.
• Migration experience from Eloqua, Marketo or HubSpot
• Familiarity with Snowflake, Databricks, AWS and GCP as upstream data sources.
• Experience with WhatsApp, SMS and push channels, and with Marketing Cloud Personalisation or Salesforce Personalisation
• Familiarity with Agentforce, generative AI and agentic delivery patterns. Experience with AI evaluation frameworks and business metrics.
• Marketing Cloud Next / Marketing Cloud Advanced familiarity.